Triple

T12031817
Position Surface form Disambiguated ID Type / Status
Subject Angelo Badalamenti E286430 entity
Predicate notableWork P4 FINISHED
Object Secretary (score) 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 (score) | Statement: [Angelo Badalamenti, notableWork, Secretary (score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secretary (score)
Context triple: [Angelo Badalamenti, notableWork, Secretary (score)]
  • 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. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
  • D. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d5fd0708190860201a4a8c6fe7c completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:47 p.m.