Triple

T7305033
Position Surface form Disambiguated ID Type / Status
Subject Michael Mukasey E167952 entity
Predicate officeStartTime (U.S. Attorney General) P76109 FINISHED
Object 2007-11-09 LITERAL 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: 2007-11-09 | Statement: [Michael Mukasey, officeStartTime (U.S. Attorney General), 2007-11-09]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeStartTime (U.S. Attorney General)
Context triple: [Michael Mukasey, officeStartTime (U.S. Attorney General), 2007-11-09]
  • A. officeStartTime (Secretary of Commerce)
    Indicates the date and time at which a person begins serving in the role of Secretary of Commerce.
  • B. startTimeAsAssistantAttorneyGeneral
    Indicates the point in time when an individual began serving in the role of Assistant Attorney General.
  • C. officeStartTime (Secretary of the Interior)
    Indicates the date and time at which a person began serving in the role of Secretary of the Interior.
  • D. officeStartTime (Governor of California)
    Indicates the time at which the Governor of California officially begins their term in office.
  • E. officeStartTime (United States Secretary of Health and Human Services)
    Indicates the date and time at which an individual officially begins their term as United States Secretary of Health and Human Services.
  • F. None of above. chosen

Provenance (4 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd61c0c8190abb1368c9dfb1550 completed March 27, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69c6e76e67d88190bd3ca6864f45845a completed March 27, 2026, 8:24 p.m.
PDg Predicate description generation batch_69c6eb2d4c0c8190b4cc6fdfdb7f4827 completed March 27, 2026, 8:40 p.m.
Created at: March 27, 2026, 3:01 p.m.