Triple

T19801383
Position Surface form Disambiguated ID Type / Status
Subject Jerry Orbach E475683 entity
Predicate child P120 FINISHED
Object Emily Orbach NE NERFINISHED

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: Emily Orbach | Statement: [Jerry Orbach, child, Emily Orbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Orbach
Context triple: [Jerry Orbach, child, Emily Orbach]
  • A. Emily Orbach chosen
    Emily Orbach is the daughter of the late American actor Jerry Orbach, known for his work on stage and in film and television.
  • B. Elisabeth Borchers
    Elisabeth Borchers was a German poet, editor, and children's book author known for her lyrical writing and influential role in postwar German literature.
  • C. Elaine Herzberg
    Elaine Herzberg was a pedestrian in Tempe, Arizona, who became the first person killed by a self-driving car when she was struck by an autonomous Uber test vehicle in 2018.
  • D. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • E. Patricia Silberman
    Patricia Silberman is known as the wife of the late Laurence Silberman, a prominent U.S. federal judge and influential conservative legal figure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653cc995c81908e4ca85b0639d541 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.