Triple
T2902810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cormac McCarthy |
E62689
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jennifer Winkley
Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
|
E360164
|
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: Jennifer Winkley | Statement: [Cormac McCarthy, spouse, Jennifer Winkley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Winkley Context triple: [Cormac McCarthy, spouse, Jennifer Winkley]
-
A.
Jennifer Wenger
Jennifer Wenger is an American actress and producer known for her work in genre films and television, as well as for her marriage to actor Casper Van Dien.
-
B.
Lisa Harrow
Lisa Harrow is a New Zealand-born actress known for her work in film, television, and theatre, including prominent roles in Australian and British productions.
-
C.
Bridget Dryden
Bridget Dryden was the mother of the notable Puritan spiritual leader and religious dissenter Anne Hutchinson.
-
D.
Amy Williams
Amy Williams is a British skeleton racer who won the gold medal at the 2010 Winter Olympics in Vancouver.
-
E.
Shiri Appleby
Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
- 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: Jennifer Winkley Triple: [Cormac McCarthy, spouse, Jennifer Winkley]
Generated description
Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Winkley Target entity description: Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
-
A.
Jennifer Wenger
Jennifer Wenger is an American actress and producer known for her work in genre films and television, as well as for her marriage to actor Casper Van Dien.
-
B.
Lisa Harrow
Lisa Harrow is a New Zealand-born actress known for her work in film, television, and theatre, including prominent roles in Australian and British productions.
-
C.
Bridget Dryden
Bridget Dryden was the mother of the notable Puritan spiritual leader and religious dissenter Anne Hutchinson.
-
D.
Amy Williams
Amy Williams is a British skeleton racer who won the gold medal at the 2010 Winter Olympics in Vancouver.
-
E.
Shiri Appleby
Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b3d20881908cd4f1b465b504af |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367e000dc8190baba64c6e8ccf308 |
completed | March 13, 2026, 1:26 a.m. |
| NEDg | Description generation | batch_69b3686f0150819088b5b3ae5ed2e42a |
completed | March 13, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b368de121481908ae01aa83aef3418 |
completed | March 13, 2026, 1:31 a.m. |
Created at: March 6, 2026, 10:10 p.m.