Triple
T15566140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lithgow |
E371118
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mary Yeager |
E371118
|
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: Mary Yeager | Statement: [John Lithgow, spouse, Mary Yeager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Yeager Context triple: [John Lithgow, spouse, Mary Yeager]
-
A.
Mary Yeager
chosen
Mary Yeager is an American history professor best known as the longtime wife of actor John Lithgow.
-
B.
Glennis Dickhouse Yeager
Glennis Dickhouse Yeager was the wife of famed test pilot Chuck Yeager and the namesake of the Bell X-1 aircraft "Glamorous Glennis."
-
C.
Wally Funk
Wally Funk is an American aviator and former Mercury 13 member who became the oldest person to travel to space when she flew on Blue Origin’s New Shepard in 2021.
-
D.
Lola Lovell
Lola Lovell is the daughter of American actress Stacey Dash, known for her role in the film and TV series "Clueless."
-
E.
Rita Brenteen
Rita Brenteen is a stage actress best known for originating a role in the original Broadway production of the musical "She Loves Me."
- 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.