Triple

T21204867
Position Surface form Disambiguated ID Type / Status
Subject Stanley Milgram E522550 entity
Predicate notableConcept P201 FINISHED
Object small-world network
A small-world network is a type of network in which most nodes are not directly connected but can be reached from every other by a surprisingly small number of steps, combining high local clustering with short path lengths.
E1472003 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: small-world network | Statement: [Stanley Milgram, notableConcept, small-world network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: small-world network
Context triple: [Stanley Milgram, notableConcept, small-world network]
  • A. Kleinberg
    Kleinberg is a surname most notably associated with Jon Kleinberg, a prominent computer scientist known for his work in algorithms and network science.
  • B. Complex Networks
    Complex Networks is a scientific conference focused on the study and analysis of complex network structures and dynamics across disciplines such as physics, computer science, and social sciences.
  • C. Erdős–Rényi model
    The Erdős–Rényi model is a fundamental random graph model in probability theory and network science, where edges between pairs of nodes are included independently with a fixed probability.
  • D. Mutual Network
    Mutual Network was a major American radio network that operated throughout much of the 20th century, known for its news, entertainment programs, and nationwide affiliates.
  • E. NetSI
    NetSI is the Network Science Institute at Northeastern University, a research center focused on advancing the theory and application of network science across diverse domains.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: small-world network
Triple: [Stanley Milgram, notableConcept, small-world network]
Generated description
A small-world network is a type of network in which most nodes are not directly connected but can be reached from every other by a surprisingly small number of steps, combining high local clustering with short path lengths.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: small-world network
Target entity description: A small-world network is a type of network in which most nodes are not directly connected but can be reached from every other by a surprisingly small number of steps, combining high local clustering with short path lengths.
  • A. Kleinberg
    Kleinberg is a surname most notably associated with Jon Kleinberg, a prominent computer scientist known for his work in algorithms and network science.
  • B. Complex Networks
    Complex Networks is a scientific conference focused on the study and analysis of complex network structures and dynamics across disciplines such as physics, computer science, and social sciences.
  • C. Erdős–Rényi model
    The Erdős–Rényi model is a fundamental random graph model in probability theory and network science, where edges between pairs of nodes are included independently with a fixed probability.
  • D. Mutual Network
    Mutual Network was a major American radio network that operated throughout much of the 20th century, known for its news, entertainment programs, and nationwide affiliates.
  • E. NetSI
    NetSI is the Network Science Institute at Northeastern University, a research center focused on advancing the theory and application of network science across diverse domains.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734342e9081909e241bed54dbc0b4 completed April 21, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ed0fc988190b112058f5bb03515 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a09807f39188190adaba95201b15d49 completed May 17, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0981288c4c8190bc9ecf6073be5ab3 completed May 17, 2026, 8:49 a.m.
Created at: April 16, 2026, 3:19 p.m.