Triple

T8485446
Position Surface form Disambiguated ID Type / Status
Subject Born This Way E200821 entity
Predicate track P17929 FINISHED
Object Hair E267551 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: Hair | Statement: [Born This Way, track, Hair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hair
Context triple: [Born This Way, track, Hair]
  • A. Hair chosen
    Hair is a 1979 musical anti-war film directed by Miloš Forman, adapted from the 1960s stage musical and known for its portrayal of the hippie counterculture and Vietnam War–era America.
  • B. Hairmyres
    Hairmyres is a suburban area in East Kilbride, South Lanarkshire, Scotland, known primarily as a residential district with local transport links and amenities.
  • C. Schwarzkopf
    Schwarzkopf is a German surname most prominently associated with U.S. Army General Norman Schwarzkopf Jr., who led coalition forces in the Gulf War.
  • D. Unhas
    Unhas is the commonly used abbreviation for Hasanuddin University, a major public university located in Makassar, Indonesia.
  • E. Lash
    Lash is the given name of the person after whom the Lash Miller Chemical Laboratories were named, likely a notable chemist or academic figure.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53b359c81908174addcd6e12785 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a3d7cb481908b366f76639bb955 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.