Triple
T10286423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where's Charley? |
E241239
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object | Brandon Thomas |
E854726
|
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: Brandon Thomas | Statement: [Where's Charley?, basedOnWorkBy, Brandon Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brandon Thomas Context triple: [Where's Charley?, basedOnWorkBy, Brandon Thomas]
-
A.
Brandon Thomas
chosen
Brandon Thomas was a British playwright best known for writing the classic farce "Charley's Aunt," which has been widely adapted for stage and screen.
-
B.
Jason Thomas
Jason Thomas is known primarily as the brother of former NFL All-Pro linebacker Zach Thomas.
-
C.
Brent Thomas
Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
-
D.
Ryan Thomas
Ryan Thomas is a fictional character portrayed by actor Kerr Smith, best known from his work in American television dramas.
-
E.
Damon Thomas
Damon Thomas is an American music producer known for his work as part of the production duo The Underdogs and for his past marriage to Kim Kardashian.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b8343c819087c50e5471c46e3f |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750097f1c8190a4b04e3758c89aae |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:40 a.m.