Triple
T14207085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Zeta-Jones |
E352123
|
entity |
| Predicate | hasFather |
P1908
|
FINISHED |
| Object | Dai Jones |
E352123
|
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: Dai Jones | Statement: [Catherine Zeta-Jones, hasFather, Dai Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dai Jones Context triple: [Catherine Zeta-Jones, hasFather, Dai Jones]
-
A.
Dai Jones
chosen
Dai Jones is the paternal grandfather of Dylan Michael Douglas, the son of actor Michael Douglas and Catherine Zeta-Jones.
-
B.
Ben Jones
Ben Jones is a British actor best known for his role as Peter Beale in the BBC soap opera "EastEnders."
-
C.
Ed Jones
Ed Jones is a former American football player best known as a defensive standout for the Dallas Cowboys during their dominant years in the 1970s and early 1980s.
-
D.
Dick Jones
Dick Jones is the corrupt senior executive and primary antagonist in the 1987 science fiction film "RoboCop."
-
E.
Fred Jones
Fred Jones is the confident, blond leader of the Mystery Inc. gang in the Scooby-Doo franchise, known for his trap-making skills and teamwork with Scooby and the others.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd280c948c8190948e55f1e1874f69 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:05 a.m.