Triple

T18474701
Position Surface form Disambiguated ID Type / Status
Subject Adrian Lester E451398 entity
Predicate notableWork P4 FINISHED
Object Undercover NE NERFINISHED

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: Undercover | Statement: [Adrian Lester, notableWork, Undercover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Undercover
Context triple: [Adrian Lester, notableWork, Undercover]
  • A. Undercover
    Undercover is a book by former CIA officer and Watergate conspirator E. Howard Hunt, detailing his experiences in espionage and covert operations.
  • B. Undercover chosen
    Undercover is a British television drama series that follows a lawyer uncovering shocking secrets about her husband and the justice system.
  • C. Undercover
    "Undercover" is a song featured on the soundtrack album "Godzilla: The Album," released in conjunction with the 1998 film "Godzilla."
  • D. Undercover
    Undercover is a 1983 studio album by The Rolling Stones that blends rock with then-contemporary dance and new wave influences.
  • E. Undercovers
    Undercovers is an American action-spy television series created by J.J. Abrams that follows a married couple who are reactivated as CIA agents.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062387481909d4503fc963f9913 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.