Triple
T21358121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Bigley |
E526690
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Sarah Brown |
—
|
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: Sarah Brown | Statement: [Isabel Bigley, notableRole, Sarah Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Brown Context triple: [Isabel Bigley, notableRole, Sarah Brown]
-
A.
Sarah Brown
Sarah Brown is a fictional character from the 1978 British sports drama film "International Velvet," which follows a young woman's journey in the world of competitive equestrian sports.
-
B.
Sarah Brown
Sarah Brown is a musician best known as a member of the Scottish rock band Simple Minds.
-
C.
Sarah Brown
chosen
Sarah Brown is the prim, idealistic Salvation Army missionary who becomes the romantic interest of gambler Sky Masterson in the classic musical "Guys and Dolls."
-
D.
Sarah Brown
Sarah Brown is a British public relations executive and charity campaigner, best known as the wife of former UK Prime Minister Gordon Brown.
-
E.
Sarah
Sarah is a person closely associated with Jimmy as a trusted friend or partner in a shared cause or context.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa2d11c81908608851940e4e6d3 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.