Triple
T14413107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Driven (2001 film) |
E357379
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Brent Briscoe |
E858768
|
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: Brent Briscoe | Statement: [Driven (2001 film), hasCastMember, Brent Briscoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Briscoe Context triple: [Driven (2001 film), hasCastMember, Brent Briscoe]
-
A.
Brent Briscoe
chosen
Brent Briscoe was an American character actor and screenwriter known for his supporting roles in films like "A Simple Plan" and various television series.
-
B.
Benjamin Briscoe
Benjamin Briscoe was an early American automobile pioneer and industrialist who played a key role in the formation of several major car companies in the early 20th century.
-
C.
Mark Briscoe
Mark Briscoe is an American professional wrestler best known as one half of the acclaimed tag team The Briscoe Brothers, alongside his late brother Jay Briscoe.
-
D.
Mike Kershaw
Mike Kershaw is a software developer best known for creating the wireless network detector and sniffer tool Kismet.
-
E.
John Briscoe
John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc79c088190b6fd2984515976d7 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:17 a.m.