Triple

T23001890
Position Surface form Disambiguated ID Type / Status
Subject Romeo and Juliet: The Tomb Scene E572652 entity
Predicate mainCharacter P1183 FINISHED
Object Tybalt NE NERFINISHED

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: Tybalt | Statement: [Romeo and Juliet: The Tomb Scene, mainCharacter, Tybalt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tybalt
Context triple: [Romeo and Juliet: The Tomb Scene, mainCharacter, Tybalt]
  • A. Tybalt chosen
    Tybalt is a hot-headed and aggressive Capulet nobleman in Shakespeare’s "Romeo and Juliet," known for his hatred of the Montagues and his pivotal role in escalating the feud.
  • B. Marcus Tybalt
    Marcus Tybalt is a music producer known for his work on the track "Can’t Seem to Make You Mine."
  • C. Mercutio
    Mercutio is a witty, charismatic nobleman and close companion of Romeo in Shakespeare’s tragedy "Romeo and Juliet," known for his sharp tongue and tragic fate.
  • D. Romeo Tirone
    Romeo Tirone is an American cinematographer and television director known for his work on independent films and acclaimed TV series such as "Dexter" and "True Blood."
  • E. Tybalt Young
    Tybalt Young is a fictional relative in the "Crazy Rich Asians" universe, known primarily as the uncle of protagonist Nick Young.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18353d05481909abacb48a14ef21e completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.