Triple
T15566153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lithgow |
E371119
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jean Taynton |
E371119
|
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: Jean Taynton | Statement: [John Lithgow, spouse, Jean Taynton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Taynton Context triple: [John Lithgow, spouse, Jean Taynton]
-
A.
Jean Taynton
chosen
Jean Taynton is an American teacher best known as the former wife of actor John Lithgow.
-
B.
Mary Tourtel
Mary Tourtel was an English illustrator and author best known for creating the beloved children's comic strip character Rupert Bear in the early 20th century.
-
C.
Jean Willes
Jean Willes was an American character actress known for her prolific work in film and television from the 1940s through the 1960s, often appearing in comedies, Westerns, and crime dramas.
-
D.
Jean Fayle
Jean Fayle is a person after whom another individual or entity named Jean was named, suggesting they were an influential or significant namesake.
-
E.
Jeanette Demont
Jeanette Demont was the first wife of American oil tycoon and art collector J. Paul Getty.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456a3b08819092f9f517bbef5577 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:10 a.m.