Triple
T23389626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotso |
E593975
|
entity |
| Predicate | commands |
P2333
|
FINISHED |
| Object | Ken (Toy Story character) |
—
|
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: Ken (Toy Story character) | Statement: [Lotso, commands, Ken (Toy Story character)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken (Toy Story character) Context triple: [Lotso, commands, Ken (Toy Story character)]
-
A.
Ken (Toy Story character)
chosen
Ken is a fashion-conscious, plastic doll character in the Toy Story franchise who becomes romantically involved with Barbie and initially serves as an ally to the antagonist Lotso in Toy Story 3.
-
B.
Woody in Toy Story
Woody in Toy Story is the loyal, cowboy doll leader of Andy’s toys and the central protagonist of Pixar’s Toy Story film series.
-
C.
Woody
Woody is the cowboy doll character from Pixar's Toy Story franchise, known as the loyal and level-headed leader of Andy's toys.
-
D.
Woody
Woody is the central protagonist of the British crime drama series "Mad Dogs," around whom the show's darkly comic and suspenseful events revolve.
-
E.
Woody
Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49a7c14819082aab826715976c5 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.