Triple
T5638000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Rock |
E124195
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
Jamie Dawick
Jamie Dawick is a Canadian businessman best known as the longtime owner and governor of the National Lacrosse League’s Toronto Rock.
|
E536435
|
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: Jamie Dawick | Statement: [Toronto Rock, owner, Jamie Dawick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Dawick Context triple: [Toronto Rock, owner, Jamie Dawick]
-
A.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
B.
Larry Drinkard
Larry Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers.
-
C.
Wylie Gelber
Wylie Gelber is an American musician best known as the bassist and a founding member of the indie rock band Dawes.
-
D.
John Dawson
John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
-
E.
John Dawson
John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
- 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: Jamie Dawick Triple: [Toronto Rock, owner, Jamie Dawick]
Generated description
Jamie Dawick is a Canadian businessman best known as the longtime owner and governor of the National Lacrosse League’s Toronto Rock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jamie Dawick Target entity description: Jamie Dawick is a Canadian businessman best known as the longtime owner and governor of the National Lacrosse League’s Toronto Rock.
-
A.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
B.
Larry Drinkard
Larry Drinkard is a gospel singer best known as a member of the influential family group The Drinkard Singers.
-
C.
Wylie Gelber
Wylie Gelber is an American musician best known as the bassist and a founding member of the indie rock band Dawes.
-
D.
John Dawson
John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
-
E.
John Dawson
John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022820b7c81908f79c0a124d6b940 |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d70e5d88190b869d54911bc8689 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e8b548c81908adaf54bbe25af35 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f4c1e34819093e60870c87c8d99 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:41 p.m.