Triple

T9983557
Position Surface form Disambiguated ID Type / Status
Subject Boomerang (1992 film) E196510 entity
Predicate editedBy 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: [Boomerang (1992 film), editedBy, John Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Carter
Context triple: [Boomerang (1992 film), editedBy, 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
    John Carter was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • C. 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."
  • D. John Carter
    John Carter is a former American ice hockey forward best known for his standout collegiate career at Rensselaer Polytechnic Institute and subsequent play in the NHL.
  • E. John P. Carter
    John P. Carter is an American entrepreneur and engineer best known as a founder of the semiconductor company Microchip Technology.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257f3c59481909b90896be0f3a870 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.