Triple
T18333345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blain Cooper |
E439203
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Jim Thomas |
—
|
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: Jim Thomas | Statement: [Blain Cooper, createdBy, Jim Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Thomas Context triple: [Blain Cooper, createdBy, Jim Thomas]
-
A.
Jim Thomas
chosen
Jim Thomas is a screenwriter best known for co-writing the original "Predator" film and its sequels with his brother John Thomas.
-
B.
Larry Thomas
Larry Thomas is an American actor best known for his Emmy-nominated portrayal of the eccentric soup vendor nicknamed the "Soup Nazi" on the television sitcom Seinfeld.
-
C.
Carl Thompson
Carl Thompson is a songwriter best known for co-writing the R&B track "Soon as I Get Home."
-
D.
Ben Thomas
Ben Thomas is the guilt-ridden IRS agent in the film "Seven Pounds" who seeks redemption by transforming the lives of seven strangers through profound acts of sacrifice.
-
E.
Ron Thompson
Ron Thompson is a fictional character best known as one of the kids in the 1989 science-fiction family film "Honey, I Shrunk the Kids."
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecbc76c8190a80c0c8c8bce1cbd |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:36 a.m.