Triple

T10677435
Position Surface form Disambiguated ID Type / Status
Subject Romeo and Juliet (1968 film score) E251654 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Romeo E54683 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: Romeo | Statement: [Romeo and Juliet (1968 film score), associatedWithCharacter, Romeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo
Context triple: [Romeo and Juliet (1968 film score), associatedWithCharacter, Romeo]
  • A. Romeo
    Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
  • B. Romeo
    Romeo is a recurring mad-scientist villain in the children's animated superhero series PJ Masks, known for his inventive gadgets and schemes to outsmart the heroes.
  • C. Romeo Montague chosen
    Romeo Montague is the passionate young lover and tragic protagonist of William Shakespeare’s play "Romeo and Juliet," whose forbidden romance ends in mutual death.
  • D. Lord Capulet
    Lord Capulet is Juliet’s authoritative and temperamental father in Shakespeare’s tragedy, whose decisions and conflicts help drive the lovers toward their fatal end.
  • E. Friar Laurence
    Friar Laurence is the well-intentioned Franciscan priest in Shakespeare’s "Romeo and Juliet" who secretly marries the young lovers and devises the ill-fated plan that leads to their tragic end.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb9563908190a69cf4bd2c24fd2f completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9887e974c81908c4943339ea9a93f completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:09 p.m.