Triple
T37036094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viola Eade |
E916638
|
entity |
| Predicate | hasPetCompanion |
P42149
|
FINISHED |
| Object | Manchee (indirectly, via Todd) |
—
|
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: Manchee (indirectly, via Todd) | Statement: [Viola Eade, hasPetCompanion, Manchee (indirectly, via Todd)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPetCompanion Context triple: [Viola Eade, hasPetCompanion, Manchee (indirectly, via Todd)]
-
A.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
B.
hasPetInterest
Indicates that one entity has an interest in, affinity for, or concern about pets in relation to another entity or context.
-
C.
hasPetOwner
chosen
Indicates that a person or entity serves as the owner or caretaker of a particular pet.
-
D.
hasAnimalCollection
Indicates that one entity possesses or maintains a collection or group of animals associated with it.
-
E.
hasPetForm
Indicates that one entity can transform into or assume the form of another entity that is characterized as a pet.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: May 3, 2026, 4:14 p.m.