Triple
T22892276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron & Wine |
E568070
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Ben Bridwell |
—
|
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: Ben Bridwell | Statement: [Iron & Wine, associatedAct, Ben Bridwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Bridwell Context triple: [Iron & Wine, associatedAct, Ben Bridwell]
-
A.
Ben Bridwell
chosen
Ben Bridwell is an American singer, songwriter, and musician best known as the lead vocalist and guitarist of the indie rock band Band of Horses.
-
B.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
C.
Dale Young
Dale Young is an American politician who served as mayor of Lincoln, Nebraska, preceding future U.S. Senator and Governor Mike Johanns in that office.
-
D.
Sean Bridgers
Sean Bridgers is an American actor and screenwriter known for his character roles in film and television, including appearances in projects like Deadwood and various contemporary Westerns.
-
E.
Kris Bowers
Kris Bowers is an American composer and pianist known for his acclaimed scores for film and television, including projects such as "Green Book," "Bridgerton," and "King Richard."
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc66dbc81909b31c068d7f2c531 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.