Triple

T12030739
Position Surface form Disambiguated ID Type / Status
Subject Juliet Capulet E286397 entity
Predicate lover P7325 FINISHED
Object Romeo Montague 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 Montague | Statement: [Juliet Capulet, lover, Romeo Montague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo Montague
Context triple: [Juliet Capulet, lover, Romeo Montague]
  • A. 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.
  • B. Romeo
    Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
  • C. 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.
  • 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. Lord Montague
    Lord Montague is the patriarch of the Montague family in Shakespeare's "Romeo and Juliet," serving as Romeo's father and a central figure in the feud with the Capulets.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af3b91288190ab2df6103bfa5a91 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:47 p.m.