Triple
T9762233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Anderson's house |
E236696
|
entity |
| Predicate | firstShownInScene |
P77498
|
FINISHED |
| Object | end of Toy Story 3 |
—
|
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: end of Toy Story 3 | Statement: [Bonnie Anderson's house, firstShownInScene, end of Toy Story 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstShownInScene Context triple: [Bonnie Anderson's house, firstShownInScene, end of Toy Story 3]
-
A.
firstAppearanceScene
chosen
Indicates the scene in which an entity is shown or referenced for the first time within a work or sequence.
-
B.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
-
C.
firstTheatricalAppearance
Indicates the event or work in which an entity made its debut theatrical appearance.
-
D.
settingOfFirstAppearance
Indicates the location or context in which an entity is first introduced or appears.
-
E.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04c70108190a8ed09eb6f2a124e |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.