Triple
T10737508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen and Country |
E253230
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kieran Corrigan
Kieran Corrigan is a film producer best known for his work on the British drama "Queen and Country."
|
E896481
|
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: Kieran Corrigan | Statement: [Queen and Country, producer, Kieran Corrigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kieran Corrigan Context triple: [Queen and Country, producer, Kieran Corrigan]
-
A.
Ciarán Brennan
Ciarán Brennan is an Irish musician, songwriter, and producer best known as a member of the family band Clannad.
-
B.
Kieran Fagan
Kieran Fagan is an individual notable enough to be recognized as a prominent bearer of the surname Fagan.
-
C.
Ciarán Kelly
Ciarán Kelly is an Irish former professional football goalkeeper best known for his penalty-saving heroics with Sligo Rovers.
-
D.
Kieran Doherty
Kieran Doherty was an Irish republican and Provisional IRA member who died on hunger strike in 1981 while serving as a Teachta Dála (member of the Irish parliament).
-
E.
Aidan McRory
Aidan McRory is a British big-game hunter and explorer who becomes entangled in the lives of two tiger cubs in the film "Two Brothers."
- 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: Kieran Corrigan Triple: [Queen and Country, producer, Kieran Corrigan]
Generated description
Kieran Corrigan is a film producer best known for his work on the British drama "Queen and Country."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kieran Corrigan Target entity description: Kieran Corrigan is a film producer best known for his work on the British drama "Queen and Country."
-
A.
Ciarán Brennan
Ciarán Brennan is an Irish musician, songwriter, and producer best known as a member of the family band Clannad.
-
B.
Kieran Fagan
Kieran Fagan is an individual notable enough to be recognized as a prominent bearer of the surname Fagan.
-
C.
Ciarán Kelly
Ciarán Kelly is an Irish former professional football goalkeeper best known for his penalty-saving heroics with Sligo Rovers.
-
D.
Kieran Doherty
Kieran Doherty was an Irish republican and Provisional IRA member who died on hunger strike in 1981 while serving as a Teachta Dála (member of the Irish parliament).
-
E.
Aidan McRory
Aidan McRory is a British big-game hunter and explorer who becomes entangled in the lives of two tiger cubs in the film "Two Brothers."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d6878a54819080050011e718c4e8 |
completed | April 18, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_69e2ff1ddd2c8190b31f5007f7492a4e |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3260494bc81909e3dd4829697fb72 |
completed | April 18, 2026, 6:34 a.m. |
Created at: April 8, 2026, 9:14 p.m.