Triple
T7166869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinah Mannering |
E167090
|
entity |
| Predicate | petDislikes |
P62730
|
FINISHED |
| Object | animals that Philip collects |
—
|
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: animals that Philip collects | Statement: [Dinah Mannering, petDislikes, animals that Philip collects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: petDislikes Context triple: [Dinah Mannering, petDislikes, animals that Philip collects]
-
A.
dislikes
chosen
Indicates that one entity has a negative feeling or aversion toward another entity.
-
B.
pet
Indicates that one entity keeps another animal for companionship or pleasure, typically providing care and shelter.
-
C.
animalTypeLoved
Indicates that one entity loves or is especially fond of animals of a particular type.
-
D.
companionAnimals
Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
-
E.
petPolicy
Indicates the rules or conditions governing whether and how pets are allowed in relation to a place, service, or arrangement.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85a07388190a07054ef12870fa1 |
completed | March 27, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:48 p.m.