Triple
T7535613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Gough |
E178141
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Diana Graves |
E178141
|
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: Diana Graves | Statement: [Michael Gough, spouse, Diana Graves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Graves Context triple: [Michael Gough, spouse, Diana Graves]
-
A.
Diana Graves
chosen
Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
-
B.
Diana Rivers
Diana Rivers is a compassionate and intelligent clergyman’s daughter in Charlotte Brontë’s novel "Jane Eyre," who becomes one of Jane’s close cousins and friends.
-
C.
Diana Rathbun
Diana Rathbun is a film producer best known for her work on the epic historical war movie "Troy."
-
D.
Diana Drake Wilson
Diana Drake Wilson is an American co-founder of the Museum of Jurassic Technology, an experimental Los Angeles museum known for its enigmatic blend of fact, fiction, art, and science.
-
E.
Ruby Gentry
Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84c13208190971096a0b81b0ff2 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b687708190a1fe1351be70616b |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:47 p.m.