Triple
T10608277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Washburn |
E275933
|
entity |
| Predicate | hasFullName |
P16
|
FINISHED |
| Object | Andy Washburn |
E275933
|
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: Andy Washburn | Statement: [Andy Washburn, hasFullName, Andy Washburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Washburn Context triple: [Andy Washburn, hasFullName, Andy Washburn]
-
A.
Andy Washburn
chosen
Andy Washburn is the bumbling yet determined New York City police officer portrayed by Jimmy Fallon in the 2004 action-comedy film "Taxi."
-
B.
Michael Wilford
Michael Wilford was a British architect known for his postmodern designs and for continuing the work of James Stirling on prominent cultural and public buildings.
-
C.
Matt Messina
Matt Messina is an American film and television composer best known for his award-winning score for the movie "Juno."
-
D.
Dave Shull
Dave Shull is an American media executive best known for serving as the CEO of The Weather Channel.
-
E.
Matt Fink
Matt Fink is an American keyboardist best known for his work with Prince and The Revolution, where he performed under the persona "Doctor Fink."
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ebe539881908aeff1cd65cf925f |
completed | April 10, 2026, 8:34 p.m. |
Created at: April 8, 2026, 7:32 p.m.