Triple

T1226325
Position Surface form Disambiguated ID Type / Status
Subject Empire E26334 entity
Predicate developer P73 FINISHED
Object Danny Strong E140778 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: Danny Strong | Statement: [Empire, developer, Danny Strong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Strong
Context triple: [Empire, developer, Danny Strong]
  • A. Danny Strong chosen
    Danny Strong is an American actor, screenwriter, and producer known for his work on acclaimed projects such as the TV series Empire and the films Recount and Game Change.
  • B. Dustin Lance Black
    Dustin Lance Black is an American screenwriter, director, and LGBT rights activist best known for his Oscar-winning screenplay for the film "Milk."
  • C. Thomas Kail
    Thomas Kail is an American theater director best known for staging the hit Broadway musical "Hamilton" and winning major awards for his work in musical direction.
  • D. Paul Vogel
    Paul Vogel was an American cinematographer best known for his work on classic Hollywood films, including the Oscar-winning "Battleground."
  • E. Tracy Moore
    Tracy Moore is an arts administrator who previously led the Massachusetts Museum of Contemporary Art (Mass MoCA) as its director.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be39908481908cca21aaf0828415 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2eb158081909f1175d8f4daaa96 completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:47 p.m.