Triple
T26760345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Anderson's toys |
E674782
|
entity |
| Predicate | someToysPreviouslyOwnedBy |
P59297
|
FINISHED |
| Object | Andy Davis |
—
|
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: Andy Davis | Statement: [Bonnie Anderson's toys, someToysPreviouslyOwnedBy, Andy Davis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: someToysPreviouslyOwnedBy Context triple: [Bonnie Anderson's toys, someToysPreviouslyOwnedBy, Andy Davis]
-
A.
previouslyPossessedBy
chosen
Indicates that an entity was owned or possessed by another entity at some time in the past, but is not necessarily possessed by that entity now.
-
B.
toyOwner
Indicates that one entity is the owner or possessor of a particular toy belonging to another entity.
-
C.
primaryToy
Indicates that one entity is the main or most frequently used toy associated with another entity.
-
D.
purchasesAsToy
Indicates that an entity buys another entity specifically for use or treatment as a toy.
-
E.
toyType
Indicates the specific category or kind of toy that an item belongs to.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618dce4908190b36b6a0323603e3e |
completed | May 2, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:57 a.m.