Triple
T15353653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Greenbury |
E367116
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Slap Shot |
E289958
|
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: Slap Shot | Statement: [Christopher Greenbury, notableWork, Slap Shot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slap Shot Context triple: [Christopher Greenbury, notableWork, Slap Shot]
-
A.
Slap Shot
chosen
Slap Shot is a 1977 sports comedy film about a struggling minor-league hockey team that becomes notorious for its violent, goon-style play.
-
B.
Slapshot
Slapshot is the bald eagle mascot of the NHL’s Washington Capitals, known for entertaining fans at games and team events.
-
C.
Slapshot
Slapshot is the official mascot of the Reading Royals minor league ice hockey team, entertaining fans at games and community events.
-
D.
Rowdy
Rowdy is the aggressive, hard-charging NASCAR driving persona of American stock car racer Kyle Busch.
-
E.
Rowdy
Rowdy is the fighting nickname of Ronda Rousey, the trailblazing mixed martial artist and former UFC champion.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ff42d48190897e6653d2b4f8a4 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:18 a.m.