Triple

T2753065
Position Surface form Disambiguated ID Type / Status
Subject Michael Hillegas E61033 entity
Predicate familyName P18 FINISHED
Object Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
 E295390 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: Hillegas | Statement: [Michael Hillegas, familyName, Hillegas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hillegas
Context triple: [Michael Hillegas, familyName, Hillegas]
  • A. Halleck
    Halleck is a surname most notably associated with American political and military figures, including U.S. Congressman Charles A. Halleck and Civil War general Henry Wager Halleck.
  • B. Hartnett
    Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
  • C. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • D. Cornel
    Cornel is the given name of Cornel West, a prominent American philosopher, political activist, and public intellectual.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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: Hillegas
Triple: [Michael Hillegas, familyName, Hillegas]
Generated description
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hillegas
Target entity description: Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
  • A. Halleck
    Halleck is a surname most notably associated with American political and military figures, including U.S. Congressman Charles A. Halleck and Civil War general Henry Wager Halleck.
  • B. Hartnett
    Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
  • C. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • D. Cornel
    Cornel is the given name of Cornel West, a prominent American philosopher, political activist, and public intellectual.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6ed9c08190824d1866e198ef80 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdb43d481909bf4e61840979c0a completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc758cc48190a96f80a850316ce3 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd7be9088190a19bed27249e95c4 completed March 10, 2026, 6:43 a.m.
Created at: March 6, 2026, 9:56 p.m.