Triple
T38599364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women Are Like That |
E934166
|
entity |
| Predicate | referredWorkMainCharacters |
P64828
|
FINISHED |
| Object | Fiordiligi |
—
|
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: Fiordiligi | Statement: [Women Are Like That, referredWorkMainCharacters, Fiordiligi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredWorkMainCharacters Context triple: [Women Are Like That, referredWorkMainCharacters, Fiordiligi]
-
A.
mainCharactersAre
Indicates that the specified entities serve as the primary or central characters in a narrative or work.
-
B.
notableWorkCharacter
chosen
Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
-
C.
hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
-
D.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
-
E.
associatedCharacters
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: May 3, 2026, 4:32 p.m.