Triple
T13255017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cormac McCarthy |
E315633
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jennifer Winkley |
E360164
|
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: 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 Winkley
chosen
Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
-
B.
Lisa Wilhoit
Lisa Wilhoit is an American actress best known for her role on the cult teen drama series "My So-Called Life."
-
C.
Tessa Wheeler
Tessa Wheeler was a pioneering early 20th-century British archaeologist known for her influential excavations and contributions to developing modern archaeological methods.
-
D.
Lindsay Pearce
Lindsay Pearce is an American actress and singer best known for her appearances on "The Glee Project" and "Glee," as well as for her work in musical theatre.
-
E.
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.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce5d00888190af03d9ef287f421f |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 9:24 p.m.