Triple

T4043906
Position Surface form Disambiguated ID Type / Status
Subject Jeff Immelt E84016 entity
Predicate appointedBy P257 FINISHED
Object Jack Welch E83349 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: Jack Welch | Statement: [Jeff Immelt, appointedBy, Jack Welch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Welch
Context triple: [Jeff Immelt, appointedBy, Jack Welch]
  • A. Jack Welch chosen
    Jack Welch was a prominent American business executive best known for his transformative and often controversial tenure as CEO of General Electric from 1981 to 2001.
  • B. A. G. Lafley
    A. G. Lafley is an American businessman best known for serving as the longtime CEO of Procter & Gamble, where he led major brand expansions and corporate growth.
  • C. Jeff Immelt
    Jeff Immelt is an American business executive best known for serving as the CEO and chairman of General Electric from 2001 to 2017.
  • D. Andrea Immelt
    Andrea Immelt is the wife of former General Electric CEO Jeff Immelt and is known primarily for her role as his spouse in public and professional circles.
  • E. Lee Iacocca
    Lee Iacocca was a prominent American automobile executive best known for his leadership at Ford and Chrysler and his pivotal role in shaping the modern U.S. car industry.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5d759c8190b61fbbe94ffe2bf7 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5769317588190bd766c7c0e690bed completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:37 p.m.