Triple

T10153693
Position Surface form Disambiguated ID Type / Status
Subject John Palmer E232713 entity
Predicate workedOn P3 FINISHED
Object Empire unclear NED1 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: [John Palmer, workedOn, Empire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empire
Context triple: [John Palmer, workedOn, 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
    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 was a British progressive rock band formed in the 1970s by former Yes guitarist Peter Banks, known for its melodic, guitar-driven sound and post-Yes experimentation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e64b5a40819093f29ec34cb0a763 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.