Triple
T36167305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act II (Romeo and Juliet) |
E1046042
|
entity |
| Predicate | majorCharactersInvolved |
P200812
|
FINISHED |
| Object | Romeo Montague |
—
|
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: Romeo Montague | Statement: [Act II (Romeo and Juliet), majorCharactersInvolved, Romeo Montague]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCharactersInvolved Context triple: [Act II (Romeo and Juliet), majorCharactersInvolved, Romeo Montague]
-
A.
mainCharactersAre
Indicates that the specified entities serve as the primary or central characters in a narrative or work.
-
B.
characterInvolvedIn
chosen
Indicates that a character participates in, is associated with, or plays a role in a particular event, action, or situation.
-
C.
characters
Indicates that one entity is a character (or set of characters) associated with, appearing in, or belonging to another entity (such as a work, story, or medium).
-
D.
associatedCharacters
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
-
E.
hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
- F. None of above.
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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
Created at: May 3, 2026, 4:08 p.m.