Triple

T15996435
Position Surface form Disambiguated ID Type / Status
Subject Dr. Mark Greene E387977 entity
Predicate colleague P398 FINISHED
Object Dr. John Carter E387021 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: Dr. John Carter | Statement: [Dr. Mark Greene, colleague, Dr. John Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. John Carter
Context triple: [Dr. Mark Greene, colleague, Dr. John Carter]
  • A. Dr. John Carter chosen
    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.
  • B. 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.
  • C. John Carter
    John Carter was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • D. John Carter
    John Carter is a music producer best known for his work on Tina Turner’s landmark 1984 album "Private Dancer."
  • E. 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.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157882ef0819081143e530bd6413c completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff293c2248190993d5d74eaf626bc completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:55 a.m.