Triple
T32146732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geri's Game |
E821041
|
entity |
| Predicate | firstPixarShortWithHumanMainCharacter |
P206196
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Geri's Game, firstPixarShortWithHumanMainCharacter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPixarShortWithHumanMainCharacter Context triple: [Geri's Game, firstPixarShortWithHumanMainCharacter, true]
-
A.
disneyPixarShortNumber
Indicates the ordinal position or identifying number assigned to a specific Disney-Pixar short film within a sequence or collection.
-
B.
firstFeatureAnimatedFilm
Indicates that the subject is the first animated feature film associated with, or fulfilling a particular role or distinction for, the object.
-
C.
childProtagonistPortrayedBy
Indicates that the protagonist, who is a child, is portrayed or played by a specific actor or performer.
-
D.
disneyPixarTitle
Indicates that the subject is a title (e.g., film or short) produced or co-produced by Disney and Pixar.
-
E.
mainCharactersAre
Indicates that the specified entities serve as the primary or central characters in a narrative or work.
- F. None of above. chosen
Provenance (4 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:31 a.m.