Triple

T1736758
Position Surface form Disambiguated ID Type / Status
Subject Richard Armey E37936 entity
Predicate familyName P18 FINISHED
Object Armey E37936 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: Armey | Statement: [Richard Armey, familyName, Armey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armey
Context triple: [Richard Armey, familyName, Armey]
  • A. Richard Armey chosen
    Richard Armey is an American economist and Republican politician who served as House Majority Leader and played a key role in advancing major conservative legislation in the U.S. Congress.
  • B. Quayle
    Quayle is the surname of Dan Quayle, the 44th vice president of the United States who served under President George H. W. Bush.
  • C. Tucker Quayle
    Tucker Quayle is the son of former U.S. Vice President Dan Quayle and a member of the prominent Quayle political family.
  • D. Reid
    Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
  • E. Don Roberts
    Don Roberts is a software engineer and author known for his contributions to object-oriented design and refactoring, including work on the influential book "Refactoring: Improving the Design of Existing Code."
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a47cd481909c211e4da7f5dfe9 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada983dd8081908fdef7d343025a4f completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:30 p.m.