Triple
T21156610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halifax Thunderbirds |
E521327
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object |
Mike Accursi
Mike Accursi is a former professional lacrosse player who became a coach and now leads the Halifax Thunderbirds in the National Lacrosse League.
|
E1549867
|
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: Mike Accursi | Statement: [Halifax Thunderbirds, headCoach, Mike Accursi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Accursi Context triple: [Halifax Thunderbirds, headCoach, Mike Accursi]
-
A.
Mike Scaccia
Mike Scaccia was an American guitarist best known for his work in the industrial metal band Ministry and the thrash metal band Rigor Mortis.
-
B.
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
-
C.
Anthony Di Iorio
Anthony Di Iorio is a Canadian entrepreneur and early cryptocurrency pioneer best known as one of the co-founders of Ethereum and founder of the blockchain company Decentral.
-
D.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
E.
Michael Nuccio
Michael Nuccio is an actor known for appearing in the psychological thriller film "In the Cut."
- 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: Mike Accursi Triple: [Halifax Thunderbirds, headCoach, Mike Accursi]
Generated description
Mike Accursi is a former professional lacrosse player who became a coach and now leads the Halifax Thunderbirds in the National Lacrosse League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Accursi Target entity description: Mike Accursi is a former professional lacrosse player who became a coach and now leads the Halifax Thunderbirds in the National Lacrosse League.
-
A.
Mike Scaccia
Mike Scaccia was an American guitarist best known for his work in the industrial metal band Ministry and the thrash metal band Rigor Mortis.
-
B.
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
-
C.
Anthony Di Iorio
Anthony Di Iorio is a Canadian entrepreneur and early cryptocurrency pioneer best known as one of the co-founders of Ethereum and founder of the blockchain company Decentral.
-
D.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
E.
Michael Nuccio
Michael Nuccio is an actor known for appearing in the psychological thriller film "In the Cut."
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252c6db08190bcdffc3f2cfc6138 |
completed | April 21, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7eb880348190835a734889e51a36 |
completed | May 18, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_6a0b7f6fafd8819080a69add1a42cf3d |
completed | May 18, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b8042a61881908e51e41f32487f17 |
completed | May 18, 2026, 9:10 p.m. |
Created at: April 16, 2026, 2:59 p.m.