Triple
T9762124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotso |
E236693
|
entity |
| Predicate | fateInToyStory3 |
P3146
|
FINISHED |
| Object | strapped to the front of a garbage truck |
—
|
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: strapped to the front of a garbage truck | Statement: [Lotso, fateInToyStory3, strapped to the front of a garbage truck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fateInToyStory3 Context triple: [Lotso, fateInToyStory3, strapped to the front of a garbage truck]
-
A.
fate
chosen
Indicates that an entity is destined or predetermined to experience a particular outcome or course of events beyond its control.
-
B.
thirdFilm
Indicates that one film is the third installment or entry in a sequence or series relative to another film.
-
C.
thirdEpisode
Indicates that one entity is the third episode in sequence within a series or season relative to another entity.
-
D.
Inside Out Project
Indicates a relationship where an initiative or action turns internal perspectives, stories, or issues outward into public, visible expression or engagement.
-
E.
afterlifeFate
Indicates the outcome or condition an entity experiences in the afterlife as a result of its life or actions.
- 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.