Triple
T2710250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hurt |
E59841
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jo Dalton
Jo Dalton is known for being married to the acclaimed English actor John Hurt.
|
E290382
|
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: 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.
Tony Bill
Tony Bill is an American film producer, director, and actor best known for producing the Oscar-winning film "The Sting" and directing movies such as "My Bodyguard."
-
B.
Don Siegel
Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
-
C.
Ken Hughes
Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
-
D.
Delbert Mann
Delbert Mann was an American film and television director best known for his Academy Award–winning work on the 1955 film "Marty" and for helping bring intimate, character-driven dramas from live television to the big screen.
-
E.
Anthony Mann
Anthony Mann was an American film director best known for his psychologically complex film noirs and influential 1950s Westerns.
- 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: Jo Dalton Triple: [John Hurt, spouse, Jo Dalton]
Generated description
Jo Dalton is known for being married to the acclaimed English actor John Hurt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jo Dalton Target entity description: Jo Dalton is known for being married to the acclaimed English actor John Hurt.
-
A.
Tony Bill
Tony Bill is an American film producer, director, and actor best known for producing the Oscar-winning film "The Sting" and directing movies such as "My Bodyguard."
-
B.
Don Siegel
Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
-
C.
Ken Hughes
Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
-
D.
Delbert Mann
Delbert Mann was an American film and television director best known for his Academy Award–winning work on the 1955 film "Marty" and for helping bring intimate, character-driven dramas from live television to the big screen.
-
E.
Anthony Mann
Anthony Mann was an American film director best known for his psychologically complex film noirs and influential 1950s Westerns.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7771a4819081904bd6b818b81b |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf820e6c8190bc37219eadd57e86 |
completed | March 10, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69afb002b86881909401e1bec24b76bf |
completed | March 10, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb0e906f88190b182cbfe81122eed |
completed | March 10, 2026, 5:49 a.m. |
Created at: March 6, 2026, 9:55 p.m.