Triple

T13004639
Position Surface form Disambiguated ID Type / Status
Subject Cher Horowitz E322252 entity
Predicate father P120 FINISHED
Object Mel Horowitz E322255 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: Mel Horowitz | Statement: [Cher Horowitz, father, Mel Horowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mel Horowitz
Context triple: [Cher Horowitz, father, Mel Horowitz]
  • A. Mel Horowitz chosen
    Mel Horowitz is a character from the film and TV series "Clueless," known as Cher's overprotective but caring father and a successful lawyer.
  • B. Harry Allan Jacobs
    Harry Allan Jacobs was an American architect known for designing notable early 20th-century buildings in New York City, including cultural and residential structures.
  • C. Mark Shusterman
    Mark Shusterman is an American musician best known as the keyboardist for the soul and rock band Nathaniel Rateliff & The Night Sweats.
  • D. Mort Drucker
    Mort Drucker was an American caricaturist and cartoonist best known for his influential, highly detailed movie and television parodies in Mad magazine.
  • E. Jonathan Katz
    Jonathan Katz is an American comedian, actor, and writer best known for co-creating and starring in the animated series "Dr. Katz, Professional Therapist."
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9a2a448190968833354280e474 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c107f990819093042560b1bc4473 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:47 p.m.