Triple
T26392660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Dernier Loup |
E663459
|
entity |
| Predicate | hasAnimalTrainer |
P76395
|
FINISHED |
| Object | Andrew Simpson |
—
|
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: Andrew Simpson | Statement: [Le Dernier Loup, hasAnimalTrainer, Andrew Simpson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimalTrainer Context triple: [Le Dernier Loup, hasAnimalTrainer, Andrew Simpson]
-
A.
hasAnimalTrainerInvolved
chosen
Indicates that an animal trainer is involved in or associated with the action, event, or relationship described.
-
B.
hasDogTrainingElement
Indicates that one entity includes, involves, or is associated with a specific element or component of dog training in relation to another entity.
-
C.
alsoTrains
Indicates that an entity, in addition to its primary role or activity, is involved in training another entity.
-
D.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
E.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 26, 2026, 11:27 p.m.