Triple

T8075234
Position Surface form Disambiguated ID Type / Status
Subject Henry Romney E188473 entity
Predicate workedOn P3 FINISHED
Object Empire (film) E35984 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: Empire (film) | Statement: [Henry Romney, workedOn, Empire (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empire (film)
Context triple: [Henry Romney, workedOn, Empire (film)]
  • A. Empire
    Empire is a small unincorporated community located in Stanislaus County in California’s Central Valley.
  • B. Empire
    Empire is a post-exploitation and command-and-control framework commonly used for penetration testing and red team operations.
  • C. Empire
    Empire is a popular American musical drama television series that follows the power struggles and family dynamics within a hip-hop music and entertainment company.
  • D. Empire chosen
    Empire is Andy Warhol’s 1964 avant-garde experimental film consisting of an extended, stationary shot of the Empire State Building, notable for its extreme duration and minimalist style.
  • E. Empire
    "Empire" is a song by the Icelandic indie folk/pop band Of Monsters and Men, known for its atmospheric sound and evocative storytelling.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404c513c8190af54d6d6b6d1a81d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f000308190a55379f8bf67f0cd completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:28 p.m.