Triple

T13217981
Position Surface form Disambiguated ID Type / Status
Subject Philippa Giles E314670 entity
Predicate producerOf P490 FINISHED
Object Undercover 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: Undercover | Statement: [Philippa Giles, producerOf, Undercover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Undercover
Context triple: [Philippa Giles, producerOf, 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
    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 1983 studio album by The Rolling Stones that blends rock with then-contemporary dance and new wave influences.
  • D. 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.
  • E. The Undercover Man
    The Undercover Man is a 1949 film noir crime drama about a Treasury agent’s relentless pursuit of a powerful mob boss, noted for its semi-documentary style and focus on tax evasion as a means to bring down organized crime.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf392e08190949ee4d194566395 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a31c8748190a24256a7dd1e346b completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:18 p.m.