Triple
T2541722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Zinnemann |
E57798
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Renee Bartlett
Renee Bartlett was the wife of acclaimed Austrian-American film director Fred Zinnemann.
|
E395279
|
NE FINISHED |
How this triple was built (4 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.
Marilyn Bartlett
Marilyn Bartlett is a supporting character in the teen comedy-drama film "Charlie Bartlett," serving as a member of the protagonist's family and contributing to the story's exploration of adolescence and mental health.
-
B.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
-
C.
Renee Jones
Renee Jones is the wife of bestselling American legal-thriller author John Grisham.
-
D.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
E.
Mary Barnes
Mary Barnes is known primarily as the wife of prominent American modernist architect Edward Larrabee Barnes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Renee Bartlett Triple: [Fred Zinnemann, spouse, Renee Bartlett]
Generated description
Renee Bartlett was the wife of acclaimed Austrian-American film director Fred Zinnemann.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Renee Bartlett Target entity description: Renee Bartlett was the wife of acclaimed Austrian-American film director Fred Zinnemann.
-
A.
Marilyn Bartlett
Marilyn Bartlett is a supporting character in the teen comedy-drama film "Charlie Bartlett," serving as a member of the protagonist's family and contributing to the story's exploration of adolescence and mental health.
-
B.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
-
C.
Renee Jones
Renee Jones is the wife of bestselling American legal-thriller author John Grisham.
-
D.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
E.
Mary Barnes
Mary Barnes is known primarily as the wife of prominent American modernist architect Edward Larrabee Barnes.
- F. None of above. chosen
Provenance (5 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2bd92f88190bf100c799f62210c |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b511f37d188190b5604645960e3f11 |
completed | March 14, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69b51318c0348190a665648a19ea8b51 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5137d9bb0819085be156826bc945a |
completed | March 14, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:47 p.m.