Triple

T3519579
Position Surface form Disambiguated ID Type / Status
Subject Dry Eye E74386 entity
Predicate conflictsWith P4897 FINISHED
Object Raymond Smith E451216 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: Raymond Smith | Statement: [Dry Eye, conflictsWith, Raymond Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Smith
Context triple: [Dry Eye, conflictsWith, Raymond Smith]
  • A. Raymond Smith
    Raymond Smith is a central figure in the crime film "The Gentlemen," serving as the right-hand man and trusted enforcer for marijuana kingpin Mickey Pearson.
  • B. Raymond Smith chosen
    Raymond Smith is a character known for being linked to the medical condition of dry eye.
  • C. Philip Smith
    Philip Smith is a member of the family of Jeffrey Lurie, the owner of the NFL’s Philadelphia Eagles.
  • D. Burrell Smith
    Burrell Smith is an American hardware engineer best known for designing the original Macintosh computer’s digital board as part of Apple’s pioneering Macintosh team in the early 1980s.
  • E. George Ward
    George Ward was a British Conservative politician who served in senior government roles during the mid-20th century, including as Minister of Supply.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4af70c8190a7471f28e1efd7fd completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc51a7c6081909eeda563a4485e87 completed March 20, 2026, 10:07 p.m.
Created at: March 8, 2026, 3:19 p.m.