Triple
T15284126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Huxley |
E365348
|
entity |
| Predicate | relationshipToAnimal |
P96394
|
FINISHED |
| Object | reluctant caretaker of leopard Baby |
—
|
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: reluctant caretaker of leopard Baby | Statement: [David Huxley, relationshipToAnimal, reluctant caretaker of leopard Baby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToAnimal Context triple: [David Huxley, relationshipToAnimal, reluctant caretaker of leopard Baby]
-
A.
relationshipToCreature
chosen
Indicates a specified type of relational connection that one entity has toward a particular creature.
-
B.
associatedWithAnimal
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
C.
associationWithHumans
Indicates a general relationship, connection, or involvement between an entity and one or more humans.
-
D.
animalTypeLoved
Indicates that one entity loves or is especially fond of animals of a particular type.
-
E.
relationshipToHumans
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e53c9588190a6cb61ac8805c706 |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.