Triple

T19365666
Position Surface form Disambiguated ID Type / Status
Subject Freddy vs. Jason E484394 entity
Predicate producer P490 FINISHED
Object James Jacks 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: James Jacks | Statement: [Freddy vs. Jason, producer, James Jacks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Jacks
Context triple: [Freddy vs. Jason, producer, James Jacks]
  • A. James Jacks chosen
    James Jacks was an American film producer best known for his work on popular action and adventure movies such as "The Mummy" series.
  • B. Jack Hively
    Jack Hively was an American film editor and director active in Hollywood during the mid-20th century, known for his work on numerous RKO Pictures productions.
  • C. Don Jackson
    Don Jackson was an American television producer best known for founding and producing the Stellar Awards, a major gospel music awards show.
  • D. Jack Cates
    Jack Cates is a tough, rule-bending San Francisco police detective and one of the two main protagonists in the action-comedy film "48 Hrs."
  • E. Jack Rucker
    Jack Rucker is one of the children of American singer and Hootie & the Blowfish frontman Darius Rucker.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619aa9ff48190b1ede47fb88a682e completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.