Triple
T6888974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Edward Turner III |
E158995
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Judy Nye |
E368748
|
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: Judy Nye | Statement: [Robert Edward Turner III, spouse, Judy Nye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judy Nye Context triple: [Robert Edward Turner III, spouse, Judy Nye]
-
A.
Judy Nye
chosen
Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
-
B.
Judy Loe
Judy Loe is an English actress known for her work in British television and theatre and as the mother of actress Kate Beckinsale.
-
C.
Judy Hofflund
Judy Hofflund is a film producer known for her work on major studio projects, including the 2022 adaptation of "Death on the Nile."
-
D.
Judy Kaye
Judy Kaye is a Tony Award–winning American actress and singer renowned for her powerful soprano voice and acclaimed performances in numerous Broadway musicals and plays.
-
E.
Judy Bernly
Judy Bernly is a timid, recently separated office worker who becomes an unlikely feminist heroine as she joins her coworkers in overthrowing their sexist boss in the comedy film "9 to 5."
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9117c84819093dad7b765337b63 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c66e7c208190ac3cc8ace77c75e5 |
completed | April 4, 2026, 8:06 a.m. |
Created at: March 27, 2026, 2:23 p.m.