Triple

T11605067
Position Surface form Disambiguated ID Type / Status
Subject Kenneth W. Hess E275234 entity
Predicate name P16 FINISHED
Object Kenneth W. Hess E275234 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: Kenneth W. Hess | Statement: [Kenneth W. Hess, name, Kenneth W. Hess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth W. Hess
Context triple: [Kenneth W. Hess, name, Kenneth W. Hess]
  • A. Kenneth W. Hess chosen
    Kenneth W. Hess is an aerospace and safety expert who served on the Columbia Accident Investigation Board that examined the 2003 Space Shuttle Columbia disaster.
  • B. Myron I. Kerstein
    Myron I. Kerstein is an American film editor known for his work on feature films and television, including projects like "Down to Earth" (2001) and later acclaimed titles such as "Crazy Rich Asians."
  • C. Gerald C. Meyers
    Gerald C. Meyers is an American automotive executive best known for leading American Motors Corporation during the late 1970s and early 1980s.
  • D. James D. Stern
    James D. Stern is an American film producer and director known for backing a range of acclaimed independent and genre films, as well as documentaries.
  • E. Robert M. Weitman
    Robert M. Weitman was an American film producer active in mid-20th-century Hollywood, known for overseeing a range of studio features and genre films.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:38 p.m.