Triple
T23341068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gounod’s Roméo et Juliette |
E591734
|
entity |
| Predicate | character |
P662
|
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: [Gounod’s Roméo et Juliette, character, Tybalt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tybalt Context triple: [Gounod’s Roméo et Juliette, character, 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198329d9c8190992627afa9b54bed |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:18 p.m.