Triple
T22972961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garage Days |
E571236
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Kick Gurry |
—
|
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: Kick Gurry | Statement: [Garage Days, starredActor, Kick Gurry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kick Gurry Context triple: [Garage Days, starredActor, Kick Gurry]
-
A.
Kick Gurry
chosen
Kick Gurry is an Australian actor known for his roles in films such as "Edge of Tomorrow" and "Looking for Alibrandi."
-
B.
Garlin
Garlin is a surname most notably associated with American comedian and actor Jeff Garlin.
-
C.
Scott Lumpkin
Scott Lumpkin is a film producer known for his work on action and thriller movies, including the 2017 film "The Foreigner."
-
D.
Garik
Garik is a diminutive or nickname commonly used in Russian for the male given name Igor.
-
E.
Gus
Gus is a 1976 Disney sports comedy film about a football team that gains an unlikely advantage from a field-goal-kicking mule.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182343a448190a5259cdf721c9d04 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.