Triple
T9787979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodi Benson |
E237535
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jodi Benson |
E237535
|
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: Jodi Benson | Statement: [Jodi Benson, name, Jodi Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodi Benson Context triple: [Jodi Benson, name, Jodi Benson]
-
A.
Jodi Benson
chosen
Jodi Benson is an American actress and singer best known as the iconic voice of Ariel in Disney’s "The Little Mermaid."
-
B.
Bonnie Anderson
Bonnie Anderson is the imaginative young girl who becomes the new owner of Woody and the other toys in Pixar's Toy Story 3 and its sequels.
-
C.
Frances Bergen
Frances Bergen was an American actress and fashion model, best known as the wife of ventriloquist Edgar Bergen and the mother of actress Candice Bergen.
-
D.
Morgan Fairchild
Morgan Fairchild is an American actress best known for her glamorous, often villainous roles in television soap operas and prime-time dramas from the 1970s and 1980s.
-
E.
Jill Paice
Jill Paice is an American stage actress and singer best known for originating leading roles in multiple Broadway and West End musicals.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2131164819099e8644e40a3cab6 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c427cb2c81909fce8e1958ab3282 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:27 p.m.