Triple
T12187916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hurt |
E290382
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jo Dalton |
E290382
|
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: Jo Dalton | Statement: [John Hurt, spouse, Jo Dalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Dalton Context triple: [John Hurt, spouse, Jo Dalton]
-
A.
Jo Dalton
chosen
Jo Dalton is known for being married to the acclaimed English actor John Hurt.
-
B.
Dan Curtis
Dan Curtis was an American director and producer best known for creating the gothic soap opera "Dark Shadows" and directing large-scale television miniseries such as "The Winds of War" and "War and Remembrance."
-
C.
George Aldrich
George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
-
D.
Budd Boetticher
Budd Boetticher was an American film director best known for his influential 1950s Westerns, particularly a series of minimalist, psychologically driven films starring Randolph Scott.
-
E.
Lewis Teague
Lewis Teague is an American film director and editor best known for genre films such as "Cujo" and "The Jewel of the Nile."
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d916012c2c819085824332ad60059e |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6b0a84c8190ae593e368c13b5a5 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.