Triple
T22859739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Rivers |
E566881
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Mary Rivers |
—
|
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: Mary Rivers | Statement: [Diana Rivers, hasRelative, Mary Rivers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Rivers Context triple: [Diana Rivers, hasRelative, Mary Rivers]
-
A.
Mary Rivers
chosen
Mary Rivers is a kind and intelligent young woman in Charlotte Brontë’s novel "Jane Eyre," known as one of the Rivers siblings who befriend and shelter the heroine.
-
B.
Evangeline Williamson
Evangeline Williamson is a fictional attorney and central character from the soap opera "One Life to Live," known for her complex personal and professional storylines.
-
C.
Jenny Wade
Jenny Wade is an American actress known for her roles in film and television, including a supporting part in the romantic comedy "No Reservations."
-
D.
Diana Rivers
Diana Rivers is a compassionate and intelligent clergyman’s daughter in Charlotte Brontë’s novel "Jane Eyre," who becomes one of Jane’s close cousins and friends.
-
E.
Nina Franklin
Nina Franklin is a central character in the film "The Stunt Man," around whom much of the movie’s dramatic and psychological tension revolves.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ec082c08190943e6cfc2e25c5cc |
completed | April 29, 2026, 3:45 a.m. |
Created at: April 17, 2026, 3:37 p.m.