Triple
T16844514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Split Second |
E409500
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sean King |
E1237162
|
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: Sean King | Statement: [Split Second, mainCharacter, Sean King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean King Context triple: [Split Second, mainCharacter, Sean King]
-
A.
Sean King
chosen
Sean King is a former Secret Service agent turned private investigator who co-stars as one of the main protagonists in David Baldacci’s King & Maxwell thriller series.
-
B.
Jeff King
Jeff King is a television producer and writer known for his work on various drama series.
-
C.
Jeff King
Jeff King is a former American professional baseball player and infielder who played in Major League Baseball during the late 1980s and 1990s, primarily for the Pittsburgh Pirates and Kansas City Royals.
-
D.
Ken King
Ken King is an actor known for his role in the film "Jade."
-
E.
Ken King
Ken King is a notable individual who bears the surname King, recognized for his public prominence in his respective field.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3533a9481909730571e6f758cbe |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a4c2a881908d2797f6e61792d3 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.