Triple

T9436380
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Davies E227517 entity
Predicate notableWork P4 FINISHED
Object Secretary (2002 film) E462634 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: Secretary (2002 film) | Statement: [Jeremy Davies, notableWork, Secretary (2002 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secretary (2002 film)
Context triple: [Jeremy Davies, notableWork, Secretary (2002 film)]
  • A. Secretary (2002 film) chosen
    Secretary (2002 film) is a dark romantic comedy-drama exploring a BDSM-infused relationship between a dominant lawyer and his submissive secretary.
  • B. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
  • C. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • D. Mr. Secretary
    "Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
  • E. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Transportation.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7ede1e148190b5793863a851c92c completed April 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104ed8d081909acb08b13cf35555 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.