Triple
T13391530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamin Pugh |
E319583
|
entity |
| Predicate | ringName |
P20821
|
FINISHED |
| Object | Jay Briscoe |
E1036455
|
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: Jay Briscoe | Statement: [Jamin Pugh, ringName, Jay Briscoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Briscoe Context triple: [Jamin Pugh, ringName, Jay Briscoe]
-
A.
John Briscoe
John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
-
B.
Brent Briscoe
Brent Briscoe was an American character actor and screenwriter known for his supporting roles in films like "A Simple Plan" and various television series.
-
C.
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.
-
D.
Mark Briscoe
chosen
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.
-
E.
Kyle Macy
Kyle Macy is a former American college basketball star and NBA guard best known for his standout career at the University of Kentucky in the late 1970s.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d543348190a9c1be509b015c0f |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306df34c81909f2ad5b753b7fb7f |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.