Triple

T1992803
Position Surface form Disambiguated ID Type / Status
Subject Howard Baker E43288 entity
Predicate name P16 FINISHED
Object Howard Baker E43288 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: Howard Baker | Statement: [Howard Baker, name, Howard Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Baker
Context triple: [Howard Baker, name, Howard Baker]
  • A. Howard Baker chosen
    Howard Baker was a prominent Republican U.S. senator from Tennessee who became nationally known for his pivotal role in the Watergate investigation and later served as Senate majority leader and White House chief of staff.
  • B. Jim Wright
    Jim Wright was an American Democratic politician from Texas who served as a powerful congressional leader and later Speaker of the U.S. House of Representatives in the 1980s.
  • C. Howard A. Smith
    Howard A. Smith was a film editor best known for his work on classic Hollywood movies, including the 1961 romantic comedy "Breakfast at Tiffany's."
  • D. Robert H. Michel
    Robert H. Michel was a long-serving Republican congressman from Illinois who led the House GOP as minority leader for over a decade, known for his collegial and pragmatic legislative style.
  • E. Don Payne
    Don Payne was an American screenwriter and producer best known for his work on comedic television series like "The Simpsons" and superhero films such as "Thor."
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb86275c88190bed869e9d3cf7ed5 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033a39d48190b6389e22de0d4418 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.