Triple

T4676662
Position Surface form Disambiguated ID Type / Status
Subject James Spader E103697 entity
Predicate notableWork P4 FINISHED
Object Secretary (2002 film)
Secretary (2002 film) is a dark romantic comedy-drama exploring a BDSM-infused relationship between a dominant lawyer and his submissive secretary.
E462634 NE FINISHED

How this triple was built (4 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: [James Spader, notableWork, Secretary (2002 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secretary (2002 film)
Context triple: [James Spader, notableWork, Secretary (2002 film)]
  • A. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
  • B. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • C. Mr. Secretary
    "Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
  • D. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Transportation.
  • E. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Secretary (2002 film)
Triple: [James Spader, notableWork, Secretary (2002 film)]
Generated description
Secretary (2002 film) is a dark romantic comedy-drama exploring a BDSM-infused relationship between a dominant lawyer and his submissive secretary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Secretary (2002 film)
Target entity description: Secretary (2002 film) is a dark romantic comedy-drama exploring a BDSM-infused relationship between a dominant lawyer and his submissive secretary.
  • A. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
  • B. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • C. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Transportation.
  • D. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
  • E. Mr. Secretary
    "Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
  • F. None of above. chosen

Provenance (5 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63685cb88190ac1904e2c7eb6b61 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be039c4c58819099e93e01badbade5 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be0761fd8081909a078e5e526cb03c completed March 21, 2026, 2:50 a.m.
NED2 Entity disambiguation (via description) batch_69be07be0d1c8190b9ae7313e8151be9 completed March 21, 2026, 2:51 a.m.
Created at: March 20, 2026, 1:16 p.m.