Triple
T13594822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Douglas |
E324788
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Diana Dill |
E187145
|
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 Dill | Statement: [Michael Douglas, parent, Diana Dill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Dill Context triple: [Michael Douglas, parent, Diana Dill]
-
A.
Diana Dill
chosen
Diana Dill was a Bermudian-born actress known for her film and television work and as the mother of actor Michael Douglas.
-
B.
Diane Nelson
Diane Nelson is an American media executive best known for serving as president of DC Entertainment and overseeing the DC Comics brand at Warner Bros.
-
C.
Elizabeth Dailey
Elizabeth Dailey is known primarily as the spouse of American actor and dancer Dan Dailey.
-
D.
Judi Farr
Judi Farr was an Australian actress known for her extensive work in theatre, film, and television, including prominent roles in classic Australian TV comedies and dramas.
-
E.
Diane Ayres
Diane Ayres is an American writer and editor known for her work in fiction and essays, often exploring contemporary relationships and women's experiences.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd466ac0f08190b99dd4cdcef339c6 |
completed | May 8, 2026, 2:11 a.m. |
Created at: April 9, 2026, 9:49 p.m.