Triple
T21329849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eunice Burns |
E525867
|
entity |
| Predicate | fiancéeOf |
P17846
|
FINISHED |
| Object | Howard Bannister |
—
|
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: Howard Bannister | Statement: [Eunice Burns, fiancéeOf, Howard Bannister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Bannister Context triple: [Eunice Burns, fiancéeOf, Howard Bannister]
-
A.
Howard Bannister
chosen
Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
-
B.
Michael Bannister
Michael Bannister is a musician best known as a member of the Scottish indie rock supergroup Reindeer Section.
-
C.
Henry Buckley
Henry Buckley is a personal name shared by several notable individuals, including politicians, journalists, and public figures.
-
D.
Scott Banister
Scott Banister is an American entrepreneur and angel investor known for co-founding IronPort and early involvement with companies like PayPal and Facebook.
-
E.
Frank Worthington
Frank Worthington was an English professional footballer best known as a flamboyant forward who played for clubs such as Leicester City and Bolton Wanderers during the 1970s and 1980s.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab5076f48190a9c89c7de4741779 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.