Triple

T13102709
Position Surface form Disambiguated ID Type / Status
Subject Gung Ho E310758 entity
Predicate screenwriter P2831 FINISHED
Object Lowell Ganz E185973 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: Lowell Ganz | Statement: [Gung Ho, screenwriter, Lowell Ganz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lowell Ganz
Context triple: [Gung Ho, screenwriter, Lowell Ganz]
  • A. Lowell Ganz chosen
    Lowell Ganz is an American screenwriter and producer known for co-writing numerous popular Hollywood comedies, often in collaboration with Babaloo Mandel.
  • B. Murray Panitz
    Murray Panitz was a prominent American flutist and longtime principal flute of the Philadelphia Orchestra, known for his influential performances and teaching.
  • C. William Rosenberg
    William Rosenberg was an American entrepreneur best known for creating the coffee and doughnut chain that became Dunkin' Donuts.
  • D. Gordon Edelstein
    Gordon Edelstein is an American theatre director known for his long tenure leading and shaping the artistic vision of major regional stages, particularly in New Haven.
  • E. Jerry Bresler
    Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98153255c8190b6ab64ac0c4716f8 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61d88888190bfc631b759f14598 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:04 p.m.