Triple
T11747898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Healey |
E279330
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
|
E955803
|
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: Michael Healey | Statement: [Healey, hasNotableBearer, Michael Healey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Healey Context triple: [Healey, hasNotableBearer, Michael Healey]
-
A.
Tim Healey
Tim Healey is a British electronic music producer and DJ known for his work in house, electro, and breakbeat genres.
-
B.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
C.
Michael Leeson
Michael Leeson was an American television writer and producer best known for co-creating the groundbreaking sitcom "The Cosby Show."
-
D.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
E.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
- 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: Michael Healey Triple: [Healey, hasNotableBearer, Michael Healey]
Generated description
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Healey Target entity description: Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
-
A.
Tim Healey
Tim Healey is a British electronic music producer and DJ known for his work in house, electro, and breakbeat genres.
-
B.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
C.
Michael Leeson
Michael Leeson was an American television writer and producer best known for co-creating the groundbreaking sitcom "The Cosby Show."
-
D.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
E.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f457f7be0081908f8e1760cc7b8294 |
completed | May 1, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_69f4645a7038819089d7533715f8a430 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4664ff9608190b23e29b3e5c1c326 |
completed | May 1, 2026, 8:37 a.m. |
Created at: April 8, 2026, 9:41 p.m.