Triple
T16281750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Zinnemann |
E395279
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Renee Bartlett |
E395279
|
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: Renee Bartlett | Statement: [Fred Zinnemann, spouse, Renee Bartlett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renee Bartlett Context triple: [Fred Zinnemann, spouse, Renee Bartlett]
-
A.
Renee Bartlett
chosen
Renee Bartlett was the wife of acclaimed Austrian-American film director Fred Zinnemann.
-
B.
Renee Bennett
Renee Bennett is the insecure yet determined protagonist of the comedy film "I Feel Pretty," whose life changes after she suddenly gains unshakable confidence in her appearance.
-
C.
Renee Madison
Renee Madison is a central, enigmatic female character in David Lynch's neo-noir film "Lost Highway," whose shifting identity and mysterious presence drive much of the movie's surreal narrative.
-
D.
Erinn Bartlett
Erinn Bartlett is an American actress and former beauty pageant titleholder known for supporting roles in film and television.
-
E.
Renee Baumgartner
Renee Baumgartner is a collegiate sports executive and former coach known for leading the athletic department at Santa Clara University.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24910c6b881909ae5cc0908dd8eb2 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbf46cf881909f6c16f7a3d9a535 |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:05 a.m.