Triple
T9563513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O'Malley's March |
E230732
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
John Doyle
John Doyle is a musician best known as a member of the Celtic band O'Malley's March.
|
E807266
|
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: John Doyle | Statement: [O'Malley's March, hasMember, John Doyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Doyle Context triple: [O'Malley's March, hasMember, John Doyle]
-
A.
Mark Dooley
Mark Dooley is a film producer best known for his work on the 2013 biographical drama "Jobs," which chronicles the life of Apple co-founder Steve Jobs.
-
B.
Kevin Doyle
Kevin Doyle is the witty, secretly romantic journalist and love interest of Katherine Heigl’s character in the romantic comedy film "27 Dresses."
-
C.
Jack Donnelly
Jack Donnelly is a British actor best known for starring as Jason in the BBC fantasy-adventure series "Atlantis."
-
D.
Jack Doolan
Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
-
E.
Mike O’Shea
Mike O’Shea is a Canadian football coach and former linebacker best known for leading the Winnipeg Blue Bombers to multiple Grey Cup championships in the CFL.
- 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: John Doyle Triple: [O'Malley's March, hasMember, John Doyle]
Generated description
John Doyle is a musician best known as a member of the Celtic band O'Malley's March.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Doyle Target entity description: John Doyle is a musician best known as a member of the Celtic band O'Malley's March.
-
A.
Mark Dooley
Mark Dooley is a film producer best known for his work on the 2013 biographical drama "Jobs," which chronicles the life of Apple co-founder Steve Jobs.
-
B.
Kevin Doyle
Kevin Doyle is the witty, secretly romantic journalist and love interest of Katherine Heigl’s character in the romantic comedy film "27 Dresses."
-
C.
Jack Donnelly
Jack Donnelly is a British actor best known for starring as Jason in the BBC fantasy-adventure series "Atlantis."
-
D.
Jack Doolan
Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
-
E.
Mike O’Shea
Mike O’Shea is a Canadian football coach and former linebacker best known for leading the Winnipeg Blue Bombers to multiple Grey Cup championships in the CFL.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9968b8608190b3078fe5764f0a69 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152a56f0481908f36df2d4d1291f2 |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d15620742481909cb17de46f1e5d1c |
completed | April 4, 2026, 6:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d156c815fc819088239d154460102a |
completed | April 4, 2026, 6:22 p.m. |
Created at: March 30, 2026, 8:04 p.m.