Triple

T15722331
Position Surface form Disambiguated ID Type / Status
Subject Harold Hecht E381127 entity
Predicate employer P7 FINISHED
Object Hecht-Hill-Lancaster E1174463 NE FINISHED

How this triple was built (2 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: Hecht-Hill-Lancaster | Statement: [Harold Hecht, employer, Hecht-Hill-Lancaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hecht-Hill-Lancaster
Context triple: [Harold Hecht, employer, Hecht-Hill-Lancaster]
  • A. Hecht-Hill-Lancaster chosen
    Hecht-Hill-Lancaster was an American film production company active in the 1950s, best known for producing acclaimed movies starring Burt Lancaster.
  • B. Harcourt-Reilly
    Harcourt-Reilly is the hyphenated surname of Sir Henry Harcourt-Reilly, a fictional character from T.S. Eliot’s play "The Cocktail Party."
  • C. Hackleton
    Hackleton is a civil parish and village in West Northamptonshire, England, known for its rural character and proximity to the town of Northampton.
  • D. Hayes & Harlington
    Hayes & Harlington is a railway station in west London that serves as a key stop on the Elizabeth line, connecting the local area to central London and Heathrow.
  • E. Hunter-Weston
    Hunter-Weston is a British surname most notably associated with Aylmer Hunter-Weston, a senior British Army officer during World War I.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876759288190b263cbea00fdaba4 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:45 a.m.