Triple

T143008
Position Surface form Disambiguated ID Type / Status
Subject Richard Morris Hunt E2893 entity
Predicate familyName P18 FINISHED
Object Hunt
Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
E16802 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: Hunt | Statement: [Richard Morris Hunt, familyName, Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunt
Context triple: [Richard Morris Hunt, familyName, Hunt]
  • A. Chase
    Chase is a major U.S. consumer and commercial banking brand of JPMorgan Chase, offering a wide range of financial services including checking, savings, credit cards, and loans.
  • B. The Eagle
    The Eagle is a 1925 silent adventure film starring Rudolph Valentino as a dashing Russian outlaw hero.
  • C. The Angler
    "The Angler" is a short story by Washington Irving that reflects his nostalgic, gently humorous style and interest in English rural life.
  • D. Loomis
    Loomis is a surname of English origin borne by various notable individuals across fields such as science, law, and the arts.
  • E. The Last Frontier
    The Last Frontier is a popular nickname for Alaska, highlighting its vast wilderness, remoteness, and relatively undeveloped natural landscapes.
  • 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: Hunt
Triple: [Richard Morris Hunt, familyName, Hunt]
Generated description
Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hunt
Target entity description: Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
  • A. Chase
    Chase is a major U.S. consumer and commercial banking brand of JPMorgan Chase, offering a wide range of financial services including checking, savings, credit cards, and loans.
  • B. The Eagle
    The Eagle is a 1925 silent adventure film starring Rudolph Valentino as a dashing Russian outlaw hero.
  • C. The Angler
    "The Angler" is a short story by Washington Irving that reflects his nostalgic, gently humorous style and interest in English rural life.
  • D. Loomis
    Loomis is a surname of English origin borne by various notable individuals across fields such as science, law, and the arts.
  • E. The Last Frontier
    The Last Frontier is a popular nickname for Alaska, highlighting its vast wilderness, remoteness, and relatively undeveloped natural landscapes.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257caf678819092e975d5167f9df4 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b860df1481909d6d64ac45dd6eae completed Feb. 28, 2026, 9:41 a.m.
NEDg Description generation batch_69a2baa4ac048190957929b92e106233 completed Feb. 28, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69a2bb038c648190a53442cedfa26ec0 completed Feb. 28, 2026, 9:53 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.