Triple

T15372176
Position Surface form Disambiguated ID Type / Status
Subject Fred Haise E367576 entity
Predicate child P120 FINISHED
Object Thomas Haise E367576 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: Thomas Haise | Statement: [Fred Haise, child, Thomas Haise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Haise
Context triple: [Fred Haise, child, Thomas Haise]
  • A. Thomas Haise chosen
    Thomas Haise is known primarily as the son of American astronaut and Apollo 13 lunar module pilot Fred Haise.
  • B. Dennis Herring
    Dennis Herring is an American record producer and mixer known for his work with a wide range of rock, alternative, and roots artists.
  • C. Charles Haid
    Charles Haid is an American actor and director best known for his role as Officer Andy Renko on the television series "Hill Street Blues."
  • D. Robert Whitehill
    Robert Whitehill was a prominent Pennsylvania Anti-Federalist leader and legislator known for his strong opposition to the ratification of the U.S. Constitution without a bill of rights.
  • E. Michael Hunsaker
    Michael Hunsaker is a fictional former Vietnam War comrade of Roger Murtaugh whose involvement in a dangerous heroin-smuggling operation drives much of the plot in the action film "Lethal Weapon."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13457418819088232270b092c969 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.