Triple
T21430263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 (film) |
E528664
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jason Clark |
—
|
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: Jason Clark | Statement: [42 (film), producer, Jason Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Clark Context triple: [42 (film), producer, Jason Clark]
-
A.
Jason Clark
chosen
Jason Clark is a television and film producer best known for his work on science-themed documentary series such as "Cosmos: Possible Worlds."
-
B.
Andrew DeRoberts
Andrew DeRoberts is a music producer and songwriter known for his work in contemporary country music.
-
C.
Scott Sherwood
Scott Sherwood is a charming yet scheming station manager character from the 1990s AMC television series "Remember WENN."
-
D.
Kent R. Weeks
Kent R. Weeks is an American Egyptologist best known for his rediscovery and excavation of the vast tomb KV5 in the Valley of the Kings.
-
E.
Jeff Gillen
Jeff Gillen was an American actor and filmmaker best known for co-directing the cult horror film "Deranged" and appearing in movies such as "A Christmas Story."
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.