Triple

T17574962
Position Surface form Disambiguated ID Type / Status
Subject Peniston E428039 entity
Predicate hasVariantSpelling P457 FINISHED
Object Penniston
Penniston is a surname of English origin borne by various individuals and sometimes used as a variant spelling of "Peniston."
E428039 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: Penniston | Statement: [Peniston, hasVariantSpelling, Penniston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penniston
Context triple: [Peniston, hasVariantSpelling, Penniston]
  • A. Point Pleasant
    Point Pleasant is a short-lived 2005 supernatural drama television series that blends horror and mystery as it follows a young woman with ominous powers arriving in a New Jersey beach town.
  • B. Cresson
    Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
  • C. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • D. Ambler
    Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
  • E. Peniston
    Peniston is a masculine given name of English origin, historically borne by several members of the British aristocracy.
  • 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: Penniston
Triple: [Peniston, hasVariantSpelling, Penniston]
Generated description
Penniston is a surname of English origin borne by various individuals and sometimes used as a variant spelling of "Peniston."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Penniston
Target entity description: Penniston is a surname of English origin borne by various individuals and sometimes used as a variant spelling of "Peniston."
  • A. Point Pleasant
    Point Pleasant is a short-lived 2005 supernatural drama television series that blends horror and mystery as it follows a young woman with ominous powers arriving in a New Jersey beach town.
  • B. Cresson
    Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
  • C. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • D. Ambler
    Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
  • E. Peniston chosen
    Peniston is a masculine given name of English origin, historically borne by several members of the British aristocracy.
  • F. None of above.

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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4593403648190836266dbdb6cfc9f completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a891c7881908db5cf89f1dfc340 completed May 11, 2026, 4:57 p.m.
NEDg Description generation batch_6a020ea4e11c8190ac0d011bfc652090 completed May 11, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_6a020f1086f08190ad9541aadad1dea1 completed May 11, 2026, 5:17 p.m.
Created at: April 10, 2026, 5:50 a.m.