Triple
T26760344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Anderson's toys |
E674782
|
entity |
| Predicate | firstOwnedBy |
P102740
|
FINISHED |
| Object | Bonnie Anderson |
—
|
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: Bonnie Anderson | Statement: [Bonnie Anderson's toys, firstOwnedBy, Bonnie Anderson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOwnedBy Context triple: [Bonnie Anderson's toys, firstOwnedBy, Bonnie Anderson]
-
A.
firstAcquiredBy
Indicates the entity that initially obtained, purchased, or took ownership of something for the first time.
-
B.
firstClaimedBy
Indicates that the referenced entity was the first to assert ownership, discovery, or authorship of another entity.
-
C.
initialOwner
chosen
Indicates the entity that originally possessed, controlled, or owned another entity before any subsequent transfers or changes in ownership.
-
D.
firstUsedBy
Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
-
E.
firstOccupiedBy
Indicates which entity was the initial or earliest known occupant of a given place, position, or resource.
- 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_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: April 27, 2026, 3:57 a.m.