Triple

T8002357
Position Surface form Disambiguated ID Type / Status
Subject Maggie Gyllenhaal E186279 entity
Predicate appearedIn P795 FINISHED
Object Secretary E704179 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 | Statement: [Maggie Gyllenhaal, appearedIn, Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secretary
Context triple: [Maggie Gyllenhaal, appearedIn, Secretary]
  • A. Secretary
    A secretary is an administrative professional responsible for managing correspondence, scheduling, records, and other organizational tasks to support individuals or offices.
  • B. Secretary chosen
    "Secretary" is a 2002 independent romantic drama film known for its unconventional portrayal of a BDSM relationship between a lawyer and his secretary.
  • C. Secretary Baker
    Secretary Baker is the honorific title used for Newton Baker, who served as the U.S. Secretary of War during World War I.
  • D. State Secretary
    A State Secretary is a senior government official who typically serves as a deputy to a minister, overseeing specific policy areas within a ministry.
  • E. Cabinet Secretary
    A Cabinet Secretary is a senior government minister responsible for leading a major department or policy area within the executive branch.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56910dd4819084ffe3350f15d95d completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:18 p.m.