Triple
T4859137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Spezza |
E108610
|
entity |
| Predicate | specialTeamsRole |
P39782
|
FINISHED |
| Object | power-play specialist |
—
|
LITERAL 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: power-play specialist | Statement: [Jason Spezza, specialTeamsRole, power-play specialist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialTeamsRole Context triple: [Jason Spezza, specialTeamsRole, power-play specialist]
-
A.
RavensSpecialTeamsTouchdownPlayer
Indicates that the player scored a touchdown for the Ravens specifically on a special teams play (e.g., kick or punt return, blocked kick).
-
B.
teamSpecialty
Indicates the particular area of expertise or focus that characterizes a team’s skills or activities.
-
C.
roleAtTampaBayBuccaneers
Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers organization.
-
D.
defensiveRole
Indicates that an entity serves a protective or guarding function in relation to another entity or context.
-
E.
associatedPlayerRole
chosen
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
- F. None of above.
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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5c92148190a314707bdd3ff30f |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.