Triple
T20807909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stablemates |
E512212
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Stablemates |
—
|
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: Stablemates | Statement: [Stablemates, title, Stablemates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stablemates Context triple: [Stablemates, title, Stablemates]
-
A.
Stablemates
chosen
Stablemates is a 1938 American comedy-drama film starring Wallace Beery and Mickey Rooney, centered on a down-on-his-luck horse doctor and a young jockey.
-
B.
Stallions
Stallions are powerful, uncastrated adult male horses often symbolizing strength, speed, and spirit, commonly used as mascots for sports teams and schools.
-
C.
The Stable
The Stable is the former name of the home arena used by the Cedar Rapids RoughRiders junior ice hockey team.
-
D.
Come to the Stable
Come to the Stable is a 1949 American comedy-drama film about two French nuns trying to build a children's hospital in New England.
-
E.
Fresh Horses
Fresh Horses is a 1988 romantic drama film starring Molly Ringwald and Andrew McCarthy about a wealthy college student drawn into a complicated relationship with a mysterious young woman from a poorer background.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d0a2a081908fb0e3d890e87aaf |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.