Triple
T10602030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edie Martin |
E275771
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Edie Martin |
E275771
|
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: Edie Martin | Statement: [Edie Martin, name, Edie Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edie Martin Context triple: [Edie Martin, name, Edie Martin]
-
A.
Edie Martin
chosen
Edie Martin was a British character actress known for her frequent appearances as elderly women in mid-20th-century British films and comedies.
-
B.
Joan Martin
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.
-
C.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
D.
Edie McClurg
Edie McClurg is an American character actress and voice artist known for her comedic supporting roles in films and television, including memorable voice work in animated movies.
-
E.
Judi Martino
Judi Martino is best known as the wife of American traditional pop singer and actor Al Martino.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded61d5c8190b13890c964b59949 |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d448fac81909137b0a0ed9b976e |
completed | April 19, 2026, 1:17 a.m. |
Created at: April 8, 2026, 7:31 p.m.