Triple
T28346254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Kline |
E717961
|
entity |
| Predicate | notableGenreAsFilmmaker |
P202894
|
FINISHED |
| Object | comedy |
—
|
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: comedy | Statement: [Owen Kline, notableGenreAsFilmmaker, comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGenreAsFilmmaker Context triple: [Owen Kline, notableGenreAsFilmmaker, comedy]
-
A.
notableDirector
Indicates that a person has directed a work (such as a film or show) in a way that is recognized as significant or distinguished.
-
B.
notableProductionFor
Indicates that an entity is especially well-known or recognized for producing or creating another specified entity.
-
C.
notableProductionType
Indicates that the subject is particularly known for producing or creating instances of the specified type.
-
D.
hasFilmographyType
Indicates the type or category of film-related work associated with an entity (e.g., actor, director, producer) within its filmography.
-
E.
notableCinematographer
Indicates that the subject is a cinematographer who is particularly distinguished or well-known for their 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a00ccadb6908190ab810a7c05315fa8 |
completed | May 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_6a00cc0f86b88190a0d2c43618558f86 |
completed | May 10, 2026, 6:18 p.m. |
| PDg | Predicate description generation | batch_6a00ccabfe8c8190be7c2bafe2323c2b |
completed | May 10, 2026, 6:21 p.m. |
Created at: April 28, 2026, 12:43 a.m.