Triple
T18254713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyan Banister |
E437193
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Scott Banister |
—
|
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: Scott Banister | Statement: [Cyan Banister, spouse, Scott Banister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Banister Context triple: [Cyan Banister, spouse, Scott Banister]
-
A.
Scott Banister
chosen
Scott Banister is an American entrepreneur and angel investor known for co-founding IronPort and early involvement with companies like PayPal and Facebook.
-
B.
Michael Bannister
Michael Bannister is a musician best known as a member of the Scottish indie rock supergroup Reindeer Section.
-
C.
Christopher Benstead
Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
-
D.
Howard Bannister
Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
-
E.
Lee Stack
Lee Stack was a British Army officer and colonial administrator who served as Governor-General of the Anglo-Egyptian Sudan and Sirdar of the Egyptian Army in the early 20th century.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd84b3a481908bbc1a5e5034d397 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.