Triple
T6762823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William O. Douglas |
E154636
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Joan Martin |
E154636
|
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: Joan Martin | Statement: [William O. Douglas, spouse, Joan Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Martin Context triple: [William O. Douglas, spouse, Joan Martin]
-
A.
Joan Martin
chosen
Joan Martin was the third wife of U.S. Supreme Court Justice William O. Douglas, known primarily for her marriage to the long-serving and controversial jurist.
-
B.
Edie Martin
Edie Martin was a British character actress known for her frequent appearances as elderly women in mid-20th-century British films and comedies.
-
C.
Marjorie Estiano
Marjorie Estiano is a Brazilian actress and singer acclaimed for her powerful television performances and international recognition.
-
D.
Joan Xavier
Joan Xavier is a fictional character associated with the Doctor X universe, likely serving as a key figure in its narrative.
-
E.
Marilou York
Marilou York is an American dental hygienist best known as the longtime wife of actor Mark Hamill.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2160a2c8190837c608a3509c62c |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a7b50388190b380f20f0213f0e5 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:12 p.m.