Triple

T9754925
Position Surface form Disambiguated ID Type / Status
Subject Mark Andrews E236530 entity
Predicate workedOn P3 FINISHED
Object John Carter E358670 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: [Mark Andrews, workedOn, John Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Carter
Context triple: [Mark Andrews, workedOn, John Carter]
  • A. John Carter chosen
    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
    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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb1370c8190bc153db8cababc62 completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b02ff0f4819080410d4e7e809a24 completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.