Triple

T16710512
Position Surface form Disambiguated ID Type / Status
Subject Doug Emhoff E406093 entity
Predicate positionHeld P8 FINISHED
Object Second Gentleman E93898 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: Second Gentleman | Statement: [Doug Emhoff, positionHeld, Second Gentleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Second Gentleman
Context triple: [Doug Emhoff, positionHeld, Second Gentleman]
  • A. Second Gentleman of the United States chosen
    The Second Gentleman of the United States is the informal title for the husband of the sitting U.S. vice president, who serves as a prominent public figure and supports the administration’s initiatives.
  • B. Statesman
    Statesman is a fictional American spy organization and whiskey distillery that serves as the U.S. counterpart to the British Kingsman agency in the film "Kingsman: The Golden Circle."
  • C. Statesman
    Statesman is one of Plato’s late political dialogues that examines the nature of true political leadership and the qualities of an ideal ruler.
  • D. Maxwell Burns
    Maxwell Burns was one of the children of the famed Scottish poet Robert Burns.
  • E. The Hayes
    The Hayes is a prominent pedestrianised shopping street and public thoroughfare in the centre of Cardiff, Wales.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a739308190b4d645e096d1710b completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.