Triple
T23327197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamboozled |
E591326
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Tommy Davidson |
—
|
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: Tommy Davidson | Statement: [Bamboozled, stars, Tommy Davidson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Davidson Context triple: [Bamboozled, stars, Tommy Davidson]
-
A.
Tommy Davidson
chosen
Tommy Davidson is an American comedian and actor best known as one of the original cast members of the sketch comedy television series "In Living Color."
-
B.
Tommy O'Steen
Tommy O'Steen is a musician best known as a former member of the hard rock band Blue Murder.
-
C.
Tommy Williams
Tommy Williams is a young inmate in the film "The Shawshank Redemption" whose testimony becomes pivotal to the fate of fellow prisoner Andy Dufresne.
-
D.
Tommy Williams
Tommy Williams was a jazz double bassist known for his work in the 1960s, including collaborations with leading artists such as Stan Getz.
-
E.
Tommy Griffin
Tommy Griffin is an American former basketball player and coach best known as the father of NBA star Blake Griffin.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eaa7b88190aad2096c110dadea |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:13 p.m.