Triple

T19712851
Position Surface form Disambiguated ID Type / Status
Subject Marco the Bison E473391 entity
Predicate alsoKnownAs P39 FINISHED
Object Marco
Marco is the costumed bison mascot of North Dakota State University’s athletic teams.
 E1390948 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: Marco | Statement: [Marco the Bison, alsoKnownAs, Marco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marco
Context triple: [Marco the Bison, alsoKnownAs, Marco]
  • A. Marco
    Marco is a central character in Arthur Miller’s play "A View from the Bridge," depicted as a hardworking Italian immigrant whose fierce sense of family loyalty and justice drives much of the drama’s conflict.
  • B. Marco
    Marco is the lightweight window manager used by the MATE desktop environment, designed as a continuation of GNOME 2’s Metacity.
  • C. Marcus
    Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
  • D. Largo Magnanapoli
    Largo Magnanapoli is a small historic square in central Rome, situated near major thoroughfares and notable landmarks such as the Quirinal Hill.
  • E. Giulio
    Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
  • 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: Marco
Triple: [Marco the Bison, alsoKnownAs, Marco]
Generated description
Marco is the costumed bison mascot of North Dakota State University’s athletic teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marco
Target entity description: Marco is the costumed bison mascot of North Dakota State University’s athletic teams.
  • A. Marco
    Marco is a central character in Arthur Miller’s play "A View from the Bridge," depicted as a hardworking Italian immigrant whose fierce sense of family loyalty and justice drives much of the drama’s conflict.
  • B. Marco
    Marco is the lightweight window manager used by the MATE desktop environment, designed as a continuation of GNOME 2’s Metacity.
  • C. Marcus
    Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
  • D. Largo Magnanapoli
    Largo Magnanapoli is a small historic square in central Rome, situated near major thoroughfares and notable landmarks such as the Quirinal Hill.
  • E. Giulio
    Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440a0f2c8190803ace7f6b4ed6e9 completed April 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ab9ea0708190ba465450a31e5aef completed May 15, 2026, 11:26 p.m.
NEDg Description generation batch_6a07ac97c68c819094b8013f6134ba8a completed May 15, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_6a07ae88e76481908b9a6fda698eec12 completed May 15, 2026, 11:38 p.m.
Created at: April 10, 2026, 1:46 p.m.