Triple
T13609649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Crane |
E325154
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Kevin S. Bright |
E382577
|
NE 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: Kevin S. Bright | Statement: [David Crane, notableCollaboration, Kevin S. Bright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin S. Bright Context triple: [David Crane, notableCollaboration, Kevin S. Bright]
-
A.
Kevin S. Bright
chosen
Kevin S. Bright is an American television producer and director best known as a co-creator and longtime executive producer of the hit sitcom "Friends."
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Daniel C. Woods
Daniel C. Woods was an early settler and prominent local figure in Utah Territory for whom the city of Woods Cross is named.
-
D.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
-
E.
Stephen M. Kellen
Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ebbc67c8190bd930a2773edb5b2 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 9, 2026, 9:50 p.m.