Triple
T23054602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels Over Broadway |
E574116
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Bill O'Brien |
—
|
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: Bill O'Brien | Statement: [Angels Over Broadway, mainCharacter, Bill O'Brien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill O'Brien Context triple: [Angels Over Broadway, mainCharacter, Bill O'Brien]
-
A.
Bill O'Brien
chosen
Bill O'Brien is a fictional political rival character in the television series "Veep," opposing protagonist Selina Meyer in her pursuit of power.
-
B.
Michael Tomlin
Michael Tomlin is best known as one of the later husbands of American country music singer Tammy Wynette.
-
C.
Mike McDaniel
Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
-
D.
Jim Gruden
Jim Gruden is the patriarch of the Gruden football family and father of NFL coaches Jon and Jay Gruden.
-
E.
Mike Tomlin
Mike Tomlin is a Super Bowl–winning head coach in the NFL, best known for his long, successful tenure leading the Pittsburgh Steelers.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867eaed0819095c7da6b06101b12 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.