Triple
T7950876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fever Pitch (2005 film) |
E184609
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jason Spevack |
E220704
|
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: Jason Spevack | Statement: [Fever Pitch (2005 film), castMember, Jason Spevack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Spevack Context triple: [Fever Pitch (2005 film), castMember, Jason Spevack]
-
A.
Jason Spevack
chosen
Jason Spevack is a Canadian actor known for his roles as a child performer in films and television, including appearances in independent and mainstream productions.
-
B.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
C.
Justin Spitz
Justin Spitz is known as one of the children of legendary American Olympic swimmer Mark Spitz.
-
D.
Matthew Sklar
Matthew Sklar is an American composer best known for his work on Broadway musicals, including the stage adaptation of "The Wedding Singer."
-
E.
Jeremy Stoppelman
Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5b7450819091e4e6f21e9d832d |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd672cb3288190af4f951e65e8d67e |
completed | April 1, 2026, 6:42 p.m. |
Created at: March 30, 2026, 5:10 p.m.