Triple
T21176029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Davis |
E521813
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Gene Davis |
—
|
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: Gene Davis | Statement: [Gene Davis, fullName, Gene Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gene Davis Context triple: [Gene Davis, fullName, Gene Davis]
-
A.
Gene Davis
chosen
Gene Davis was an American painter best known for his vibrant vertical stripe paintings that became emblematic of the Washington Color School and post-painterly abstraction.
-
B.
Gene Davis
Gene Davis was an American actor known for his roles in 1970s and 1980s films and television, often portraying intense or offbeat characters.
-
C.
Douglas Howser
Douglas "Doogie" Howser is a teenage prodigy who works as a licensed physician while navigating the challenges of adolescence in the TV series "Doogie Howser, M.D."
-
D.
Charles Groves
Charles Groves was a distinguished British conductor renowned for his interpretations of English orchestral music and his leadership of major UK orchestras in the mid-20th century.
-
E.
Ben Davis
Ben Davis is a British cinematographer known for his work on major films including several Marvel Cinematic Universe entries.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e730197cfc8190bde13453b761886b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3 p.m.