Triple
T21728465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clytie Sutpen |
E536334
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Rosa Coldfield |
—
|
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: Rosa Coldfield | Statement: [Clytie Sutpen, relatedTo, Rosa Coldfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosa Coldfield Context triple: [Clytie Sutpen, relatedTo, Rosa Coldfield]
-
A.
Rosa Coldfield
chosen
Rosa Coldfield is a central figure in William Faulkner’s novel *Absalom, Absalom!*, serving as one of the primary narrators whose recollections help unravel the tragic history of the Sutpen family.
-
B.
Rosa Rhodes
Rosa Rhodes is known as the wife of geologist and former Cornell University president Frank H. T. Rhodes.
-
C.
Lucinda Ashby
Lucinda Ashby is an Episcopal bishop who leads the Diocese of El Camino Real in California.
-
D.
Rosemary Thorpe
Rosemary Thorpe is a person notable enough to be recognized as a significant bearer of the surname Thorpe.
-
E.
Rosalie Booth
Rosalie Booth was a 19th-century American woman best known as a member of the prominent Booth theatrical family, which included several famous stage actors.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd03c6ec8190a2f0445c1f3a45b4 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.