Triple

T10526216
Position Surface form Disambiguated ID Type / Status
Subject Lorelei Ambrosia E248311 entity
Predicate creator P184 FINISHED
Object Leslie Newman E305386 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: Leslie Newman | Statement: [Lorelei Ambrosia, creator, Leslie Newman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Newman
Context triple: [Lorelei Ambrosia, creator, Leslie Newman]
  • A. Leslie Newman chosen
    Leslie Newman is a screenwriter best known for co-writing several of the Christopher Reeve-era Superman films, including Superman III.
  • B. Leslie Easterbrook
    Leslie Easterbrook is an American actress best known for her role as Sergeant Debbie Callahan in the "Police Academy" film series.
  • C. Leslie Alexander
    Leslie Alexander is an American businessman best known as the former owner of the NBA’s Houston Rockets and the WNBA’s Houston Comets.
  • D. Leslie Alexander
    Leslie Alexander is known primarily as a child of American politician and former U.S. Senator Lamar Alexander.
  • E. Leslie Aday
    Leslie Aday is the former wife of rock singer Meat Loaf, known for her long marriage to the performer during the height of his fame.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4bbe88190bce7789a56c85671 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:29 p.m.