Triple
T12959121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Anderson |
E310090
|
entity |
| Predicate | previousOwnerOfHerToys |
P59297
|
FINISHED |
| Object | Bonnie's mother |
—
|
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: Bonnie's mother | Statement: [Bonnie Anderson, previousOwnerOfHerToys, Bonnie's mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousOwnerOfHerToys Context triple: [Bonnie Anderson, previousOwnerOfHerToys, Bonnie's mother]
-
A.
toyOwner
Indicates that one entity is the owner or possessor of a particular toy belonging to another entity.
-
B.
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.
-
C.
formerPartOwnerOf
Indicates that an entity previously held, but no longer holds, a partial ownership stake in another entity.
-
D.
purchasesAsToy
Indicates that an entity buys another entity specifically for use or treatment as a toy.
-
E.
hasPetOwner
Indicates that a person or entity serves as the owner or caretaker of a particular 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:44 p.m.