Triple
T517149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Douglas |
E10733
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Diandra Luker
Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
|
E180378
|
NE FINISHED |
How this triple was built (4 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: Diandra Luker | Statement: [Michael Douglas, spouse, Diandra Luker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diandra Luker Context triple: [Michael Douglas, spouse, Diandra Luker]
-
A.
Lana Peters
Lana Peters was the American name of Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin who later defected to the West and became a writer.
-
B.
Denise Mara
Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
-
C.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
-
D.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
-
E.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Diandra Luker Triple: [Michael Douglas, spouse, Diandra Luker]
Generated description
Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diandra Luker Target entity description: Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
-
A.
Lana Peters
Lana Peters was the American name of Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin who later defected to the West and became a writer.
-
B.
Denise Mara
Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
-
C.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
-
D.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
-
E.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
- F. None of above. chosen
Provenance (5 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f19d81d48190bd65a02059fc8473 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4678de4481908d6a0e6325e0a0e0 |
completed | March 8, 2026, 9:50 a.m. |
| NEDg | Description generation | batch_69ad4774fc5c8190952196df8f618bc9 |
completed | March 8, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad47a5f5048190bc2201911e47021d |
completed | March 8, 2026, 9:55 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.