Triple

T16417512
Position Surface form Disambiguated ID Type / Status
Subject The Menacing Mist E398727 entity
Predicate featuresActor P15562 FINISHED
Object Jack Rockwell E745719 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: Jack Rockwell | Statement: [The Menacing Mist, featuresActor, Jack Rockwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Rockwell
Context triple: [The Menacing Mist, featuresActor, Jack Rockwell]
  • A. Jack Rockwell chosen
    Jack Rockwell was an American character actor known for his numerous supporting roles in Western films during the 1930s and 1940s.
  • B. Robert Rockwell
    Robert Rockwell was an American actor best known for his role as the handsome biology teacher Philip Boynton on the classic radio and television sitcom "Our Miss Brooks."
  • C. Phil Reeves
    Phil Reeves is an American character actor known for his supporting roles in film and television, including appearances in comedies and dramas such as "13 Going on 30."
  • D. Richard Franklin
    Richard Franklin was a British actor best known for playing Captain Mike Yates in the classic science fiction television series Doctor Who.
  • E. Richard Franklin
    Richard Franklin was an Australian film and television director best known for his work in the thriller and horror genres, including films like "Roadgames" and "Psycho II."
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328798a488190a5fad01c3c95584c completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6ca1bc8190a6c4f675ec8e3a53 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.