Triple

T12391834
Position Surface form Disambiguated ID Type / Status
Subject The Mindy Project E296011 entity
Predicate executiveProducer P7225 FINISHED
Object Howard Klein E416542 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 Klein | Statement: [The Mindy Project, executiveProducer, Howard Klein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Klein
Context triple: [The Mindy Project, executiveProducer, Howard Klein]
  • A. Howard Klein chosen
    Howard Klein is a television producer known for his work on acclaimed series such as Carnivàle.
  • B. 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.
  • C. 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.
  • D. Todd Lieberman
    Todd Lieberman is an American film producer known for his work on acclaimed movies such as "The Fighter" and other major Hollywood productions.
  • E. Howard Gobioff
    Howard Gobioff was a computer scientist and early Google engineer best known as a co-author of the influential Google File System paper that helped shape modern distributed storage systems.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66856236c8190a70ef287c0146116 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:54 p.m.