Triple

T6271377
Position Surface form Disambiguated ID Type / Status
Subject A Rage in Harlem E140541 entity
Predicate editor P1954 FINISHED
Object John Carter E26533 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: John Carter | Statement: [A Rage in Harlem, editor, John Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Carter
Context triple: [A Rage in Harlem, editor, John Carter]
  • A. John Carter
    John Carter is a 2012 science fiction action film, based on Edgar Rice Burroughs' Barsoom novels, that follows a Civil War veteran mysteriously transported to Mars and caught in a planetary conflict.
  • B. John Carter chosen
    John Carter is a film editor best known for his work on notable movies such as the 1995 drama "Waiting to Exhale."
  • C. Dr. John Carter
    Dr. John Carter is a central fictional physician on the long-running medical drama series "ER," known for his evolution from idealistic medical student to seasoned doctor.
  • D. John Charles Carter
    John Charles Carter is the birth name of Charlton Heston, the iconic American actor famed for epic film roles such as Moses in "The Ten Commandments" and Judah Ben-Hur in "Ben-Hur."
  • E. Buck Rogers
    Buck Rogers is a pioneering science fiction hero who popularized space adventure in early 20th-century American comics, radio, film serials, and television.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446629248190945f0f4f4a103bbd completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.