Triple
T32505641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegfried Fischbacher |
E830784
|
entity |
| Predicate | performedWithAnimalType |
P13551
|
FINISHED |
| Object | white tigers |
—
|
LITERAL FINISHED |
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: white tigers | Statement: [Siegfried Fischbacher, performedWithAnimalType, white tigers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedWithAnimalType Context triple: [Siegfried Fischbacher, performedWithAnimalType, white tigers]
-
A.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
B.
performedTrick
Indicates that one entity executed or carried out a trick involving another entity or in a particular context.
-
C.
hasAnimalRoleType
Indicates that an entity holds or is assigned a specific role or function in relation to an animal.
-
D.
hasAnimal
chosen
Indicates that one entity possesses, keeps, or is associated with an animal.
-
E.
hasAnimalTrainerInvolved
Indicates that an animal trainer is involved in or associated with the action, event, or relationship described.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: May 1, 2026, 1 a.m.