Triple
T38387658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La danse de Puck |
E899621
|
entity |
| Predicate | evokesCharacter |
P12208
|
FINISHED |
| Object | Puck |
—
|
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: Puck | Statement: [La danse de Puck, evokesCharacter, Puck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evokesCharacter Context triple: [La danse de Puck, evokesCharacter, Puck]
-
A.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
B.
characterInspiration
Indicates that one entity serves as the creative or conceptual inspiration for the development or portrayal of another character.
-
C.
exampleCharacter
Indicates that one entity is an illustrative or sample character associated with another entity, typically used for demonstration or example purposes.
-
D.
posterCharacterizes
Indicates that a poster visually or textually portrays and defines the qualities, traits, or identity of something or someone.
-
E.
characterIn
chosen
Indicates that an entity appears as a character within a specified work, story, or narrative.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:31 p.m.