Triple
T34272024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Almond |
E879344
|
entity |
| Predicate | roleInKevinAndPerryGoLarge |
P202819
|
FINISHED |
| Object | cinematographer |
—
|
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: cinematographer | Statement: [Alan Almond, roleInKevinAndPerryGoLarge, cinematographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInKevinAndPerryGoLarge Context triple: [Alan Almond, roleInKevinAndPerryGoLarge, cinematographer]
-
A.
roleAtPlanetExpress
Indicates the specific job or position an entity holds within the organization Planet Express.
-
B.
roleInGoofTroop
Indicates the specific role or function an entity has within the context of the Goof Troop series or franchise.
-
C.
roleInHaroldAndKumarSeries
Indicates that an entity portrays a character in the Harold and Kumar film series.
-
D.
roleInDespicableMe2
Indicates that an entity has a specific role or participation in the movie "Despicable Me 2."
-
E.
roleInScoobyDoo
Indicates the specific function or character part an entity plays within the Scooby-Doo franchise or storyline.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00bf5990e08190a8b633e237656564 |
completed | May 10, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_6a00beef4f5881909b00ac89e6af5902 |
completed | May 10, 2026, 5:22 p.m. |
| PDg | Predicate description generation | batch_6a00bf5899b08190ad012a0879907d65 |
completed | May 10, 2026, 5:24 p.m. |
Created at: May 1, 2026, 1:56 a.m.