Triple

T23477592
Position Surface form Disambiguated ID Type / Status
Subject Numb3rs E570307 entity
Predicate stars P1956 FINISHED
Object David Krumholtz 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: David Krumholtz | Statement: [Numb3rs, stars, David Krumholtz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Krumholtz
Context triple: [Numb3rs, stars, David Krumholtz]
  • A. David Krumholtz chosen
    David Krumholtz is an American actor best known for his roles in films like "The Santa Clause" series and the television drama "Numb3rs."
  • B. Kristian Feigelson
    Kristian Feigelson is a film scholar and author known for his work on cinema history and analysis, including contributions related to the classic horror film "Vampyr."
  • C. Steven Weisberg
    Steven Weisberg was an American film editor known for his work on major studio features including Alfonso Cuarón’s films such as A Little Princess and Harry Potter and the Prisoner of Azkaban.
  • D. Bruce T. Draine
    Bruce T. Draine is an American astrophysicist renowned for his influential work on interstellar dust and the interstellar medium.
  • E. David Vonderhaar
    David Vonderhaar is a video game designer best known as a leading multiplayer and design director on the Call of Duty: Black Ops series.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74dbea8819085ca84391039e7f7 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:02 p.m.