Triple
T9734155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rice |
E236015
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Anne Rice |
E197023
|
NE FINISHED |
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: Anne Rice | Statement: [Rice, hasNotableBearer, Anne Rice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Rice Context triple: [Rice, hasNotableBearer, Anne Rice]
-
A.
Anne Rice
chosen
Anne Rice was a bestselling American author renowned for her gothic horror and erotic novels, particularly "The Vampire Chronicles" series featuring the vampire Lestat.
-
B.
Charles Frazier
Charles Frazier is an American novelist best known for his National Book Award–winning Civil War novel "Cold Mountain."
-
C.
Sara Lowndes
Sara Lowndes is an American former model and artist best known as the first wife of musician Bob Dylan and the mother of several of his children.
-
D.
Jill Raymond
Jill Raymond is best known as the wife of British broadcaster, writer, and politician Sir Clement Freud.
-
E.
Edward Gorey
Edward Gorey was an American writer and illustrator known for his macabre, darkly humorous pen-and-ink drawings and gothic-tinged picture books.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eebcec08190a9d4606fd26f2e19 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afc4dcc4819096d29c1a0529d272 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:22 p.m.