Triple
T6292712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Fonda |
E141056
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Susan Brewer
Susan Brewer is an American artist and the former wife of actor Peter Fonda.
|
E582099
|
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: Susan Brewer | Statement: [Peter Fonda, spouse, Susan Brewer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Brewer Context triple: [Peter Fonda, spouse, Susan Brewer]
-
A.
Stephanie Grisham
Stephanie Grisham is an American political aide and communications official who served as White House press secretary and communications director under President Donald Trump.
-
B.
Kathy Kraninger
Kathy Kraninger is an American government official who served as Director of the Consumer Financial Protection Bureau under the Trump administration.
-
C.
Pamela West Mulvaney
Pamela West Mulvaney is the wife of American politician and former White House Chief of Staff Mick Mulvaney.
-
D.
Kim Roth
Kim Roth is a film producer best known for her work on critically acclaimed dramas such as "Mudbound."
-
E.
Susan Rice
Susan Rice is an American diplomat and policy advisor who has served in senior national security and domestic policy roles in multiple Democratic administrations, including as U.S. National Security Advisor and U.S. Ambassador to the United Nations.
- 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: Susan Brewer Triple: [Peter Fonda, spouse, Susan Brewer]
Generated description
Susan Brewer is an American artist and the former wife of actor Peter Fonda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Brewer Target entity description: Susan Brewer is an American artist and the former wife of actor Peter Fonda.
-
A.
Stephanie Grisham
Stephanie Grisham is an American political aide and communications official who served as White House press secretary and communications director under President Donald Trump.
-
B.
Kathy Kraninger
Kathy Kraninger is an American government official who served as Director of the Consumer Financial Protection Bureau under the Trump administration.
-
C.
Pamela West Mulvaney
Pamela West Mulvaney is the wife of American politician and former White House Chief of Staff Mick Mulvaney.
-
D.
Kim Roth
Kim Roth is a film producer best known for her work on critically acclaimed dramas such as "Mudbound."
-
E.
Susan Rice
Susan Rice is an American diplomat and policy advisor who has served in senior national security and domestic policy roles in multiple Democratic administrations, including as U.S. National Security Advisor and U.S. Ambassador to the United Nations.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0642017588190b6c99c685653f6c2 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51983afd081908d2cfeaeccb40bcb |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51ec56e408190968adb66d97e1e3e |
completed | March 26, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51f99ed0c81908c921b3932b59879 |
completed | March 26, 2026, 11:59 a.m. |
Created at: March 22, 2026, 4:27 p.m.