Triple
T5637988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Rock |
E124195
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Rock
Rock is a professional box lacrosse team based in Toronto, Ontario, competing in the National Lacrosse League.
|
E536434
|
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: Rock | Statement: [Toronto Rock, shortName, Rock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rock Context triple: [Toronto Rock, shortName, Rock]
-
A.
Rock
"Rock" is a popular Afrobeats/hip-hop song by Nigerian rapper and singer Olamide, known for its smooth melody and romantic lyrics.
-
B.
Rock
Rock is a common English surname borne by various notable individuals across fields such as business, entertainment, and sports.
-
C.
Rock & Roll
"Rock & Roll" is a seminal song by The Velvet Underground that celebrates the transformative, life-changing power of rock music.
-
D.
Hard Rock
Hard Rock is a globally recognized entertainment and hospitality brand known for its rock-and-roll–themed restaurants, hotels, casinos, and music memorabilia.
-
E.
Rock ’n’ Roll
Rock ’n’ Roll is a stage play by Tom Stoppard that intertwines rock music, Czech politics, and personal relationships from the late 1960s to the post-Communist era.
- 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: Rock Triple: [Toronto Rock, shortName, Rock]
Generated description
Rock is a professional box lacrosse team based in Toronto, Ontario, competing in the National Lacrosse League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rock Target entity description: Rock is a professional box lacrosse team based in Toronto, Ontario, competing in the National Lacrosse League.
-
A.
Rock
Rock is a common English surname borne by various notable individuals across fields such as business, entertainment, and sports.
-
B.
Rock
"Rock" is a popular Afrobeats/hip-hop song by Nigerian rapper and singer Olamide, known for its smooth melody and romantic lyrics.
-
C.
Rock & Roll
"Rock & Roll" is a seminal song by The Velvet Underground that celebrates the transformative, life-changing power of rock music.
-
D.
Hard Rock
Hard Rock is a globally recognized entertainment and hospitality brand known for its rock-and-roll–themed restaurants, hotels, casinos, and music memorabilia.
-
E.
Rock ’n’ Roll
Rock ’n’ Roll is a stage play by Tom Stoppard that intertwines rock music, Czech politics, and personal relationships from the late 1960s to the post-Communist era.
- 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.