Triple
T11854518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Dutcher |
E281999
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brian Dutcher |
E281999
|
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: Brian Dutcher | Statement: [Brian Dutcher, name, Brian Dutcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Dutcher Context triple: [Brian Dutcher, name, Brian Dutcher]
-
A.
Brian Dutcher
chosen
Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
-
B.
Cliff Bentz
Cliff Bentz is a Republican U.S. Representative from Oregon who has served in Congress since 2021, representing the state's 2nd congressional district.
-
C.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
D.
Chip Hardesty
Chip Hardesty is the fictional FBI agent protagonist of the 1959 film "The FBI Story," whose career dramatizes the Bureau’s history and major cases.
-
E.
Phil DeGuere
Phil DeGuere was an American television producer, writer, and director best known for his work on series such as Simon & Simon and the 1980s revival of The Twilight Zone.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a0e90e48190af6b802697d3256f |
completed | May 3, 2026, 8:40 a.m. |
Created at: April 8, 2026, 9:43 p.m.