Triple
T32127755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love of Seven Dolls |
E820548
|
entity |
| Predicate | hasPuppeteerCharacter |
P92902
|
FINISHED |
| Object | Capitaine Coq |
—
|
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: Capitaine Coq | Statement: [Love of Seven Dolls, hasPuppeteerCharacter, Capitaine Coq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPuppeteerCharacter Context triple: [Love of Seven Dolls, hasPuppeteerCharacter, Capitaine Coq]
-
A.
hasPuppetCharacter
chosen
Indicates that one entity features, includes, or is associated with a particular puppet character as part of its content or composition.
-
B.
hasMermaidCharacter
Indicates that an entity includes, features, or is associated with a character who is a mermaid.
-
C.
hasGhostCharacter
Indicates that an entity includes, features, or is associated with a character that is a ghost.
-
D.
hasPatronCharacter
Indicates that one entity serves as a patron, protector, or guiding figure for another entity.
-
E.
hasFictionalPet
Indicates that an entity has, owns, or is associated with a pet that is fictional or imaginary.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: May 1, 2026, 12:29 a.m.