Triple
T5694791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tortorella |
E125511
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | John Robert Tortorella |
E125511
|
NE FINISHED |
How this triple was built (2 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 Robert Tortorella | Statement: [John Tortorella, fullName, John Robert Tortorella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Robert Tortorella Context triple: [John Tortorella, fullName, John Robert Tortorella]
-
A.
John Tortorella
chosen
John Tortorella is a veteran NHL coach known for his demanding, defense-first style, fiery personality, and a Stanley Cup championship with the Tampa Bay Lightning.
-
B.
Mike Larocca
Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
-
C.
Ray Ferraro
Ray Ferraro is a former Canadian professional ice hockey player and prominent NHL broadcaster known for his long playing career and work as a television analyst.
-
D.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
E.
Jeff Maggioncalda
Jeff Maggioncalda is a business executive best known for leading the online learning platform Coursera as its chief executive officer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02409e70081909e47f2bd4a50fa12 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a528a348190a7f6fd4cc3b76c92 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:45 p.m.