Triple

T16100262
Position Surface form Disambiguated ID Type / Status
Subject Howard Kazanjian E390597 entity
Predicate name P16 FINISHED
Object Howard Kazanjian E390597 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: Howard Kazanjian | Statement: [Howard Kazanjian, name, Howard Kazanjian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Kazanjian
Context triple: [Howard Kazanjian, name, Howard Kazanjian]
  • A. Howard Kazanjian chosen
    Howard Kazanjian is an American film producer best known for his work on major films such as "Star Wars: Return of the Jedi" and "Raiders of the Lost Ark."
  • B. Bruce Kimmel
    Bruce Kimmel is an American writer, director, and Grammy-nominated record producer best known for his work in musical theatre and film, as well as for producing numerous cast albums.
  • C. Lawrence Kasanoff
    Lawrence Kasanoff is an American film producer best known for his work on the Mortal Kombat franchise and various action and animated films.
  • D. Howard Klausner
    Howard Klausner is an American screenwriter best known for co-writing the Clint Eastwood film "Space Cowboys" and working on various other feature and television projects.
  • E. Howard Rosenman
    Howard Rosenman is an American film producer known for his work on popular Hollywood movies and for helping bring LGBTQ themes into mainstream cinema.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6756948190a7f5ecb375e59701 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9d6140819087f9b3dc549c4aec completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.