Triple

T1070491
Position Surface form Disambiguated ID Type / Status
Subject Liza Minnelli E23314 entity
Predicate spouse P13 FINISHED
Object Jack Haley Jr. E49587 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 Haley Jr. | Statement: [Liza Minnelli, spouse, Jack Haley Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Haley Jr.
Context triple: [Liza Minnelli, spouse, Jack Haley Jr.]
  • A. Jack Haley chosen
    Jack Haley was an American actor best known for playing the Tin Man in the classic 1939 film "The Wizard of Oz."
  • B. Frank Gaylord
    Frank Gaylord was an American sculptor best known for creating the statues of soldiers at the Korean War Veterans Memorial in Washington, D.C.
  • C. John William Ferrell
    John William Ferrell is an American actor, comedian, producer, and writer best known for his work on "Saturday Night Live" and in hit comedy films such as "Anchorman" and "Elf."
  • D. Curt Menefee
    Curt Menefee is an American sportscaster best known as the longtime studio host of Fox's NFL coverage.
  • E. Peter D. Graves
    Peter D. Graves is a film producer best known for his work on major Hollywood action and science fiction movies, including Terminator Salvation.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92848148190ba8795cb8d0a1d0a completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac662657008190895c5003e669d0bb completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:42 p.m.