Triple

T2985323
Position Surface form Disambiguated ID Type / Status
Subject XIV Olympiad E80610 entity
Predicate cauldronLighter P12657 FINISHED
Object John Mark E100681 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 Mark | Statement: [XIV Olympiad, cauldronLighter, John Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Mark
Context triple: [XIV Olympiad, cauldronLighter, John Mark]
  • A. John Mark
    John Mark is a New Testament figure traditionally regarded as the author of the Gospel of Mark and a companion of the apostles Peter and Paul.
  • B. John Mark chosen
    John Mark was a British athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1948 London Summer Olympics.
  • C. William Demas
    William Demas was a prominent Trinidadian economist and regional statesman who played a key role in shaping Caribbean economic integration and development policy in the post-independence era.
  • D. Dave Marks
    Dave Marks is a character on "The Jim Gaffigan Show," serving as one of Jim's close friends and a source of comic relief in his everyday misadventures.
  • E. Richard Marks
    Richard Marks was an American film editor known for his work on numerous acclaimed movies, including the culinary drama "Julie & Julia."
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c65ad0819087bb4ae92ab0dc55 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f8b2b08190904cf89befe656dd completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:59 p.m.