Triple

T4666709
Position Surface form Disambiguated ID Type / Status
Subject 24 E102862 entity
Predicate creator P184 FINISHED
Object Joel Surnow E398453 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: Joel Surnow | Statement: [24, creator, Joel Surnow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel Surnow
Context triple: [24, creator, Joel Surnow]
  • A. Joel Surnow chosen
    Joel Surnow is an American television writer and producer best known as the co-creator of the real-time action-thriller series "24."
  • B. Brannon Braga
    Brannon Braga is an American television producer, director, and writer best known for his work on multiple Star Trek series and other science and science-fiction programs.
  • C. Michael Piller
    Michael Piller was an American television writer and producer best known for his influential work shaping the modern Star Trek franchise, particularly through his leadership on Star Trek: The Next Generation and subsequent series.
  • D. Jim Kouf
    Jim Kouf is an American screenwriter, producer, and director known for his work on films such as "Stakeout," "Rush Hour," and the TV series "Grimm."
  • E. Alex Kurtzman
    Alex Kurtzman is an American screenwriter, producer, and director best known for co-writing blockbuster films like Star Trek (2009) and for overseeing several modern Star Trek television series.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be038912488190a109d4ce624b813d completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.