Triple

T8516592
Position Surface form Disambiguated ID Type / Status
Subject Anthony Hemingway E201586 entity
Predicate notableWork P4 FINISHED
Object Empire E26334 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 | Statement: [Anthony Hemingway, notableWork, Empire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empire
Context triple: [Anthony Hemingway, notableWork, Empire]
  • 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 chosen
    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
    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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62550908190af882019d68a904a completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e65419481909e787066fd069565 completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.