Triple
T4777660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Briscoe |
E106090
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Briscoe |
E106090
|
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: John Briscoe | Statement: [John Briscoe, name, John Briscoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Briscoe Context triple: [John Briscoe, name, John Briscoe]
-
A.
John Briscoe
chosen
John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
-
B.
Rob Van Dam
Rob Van Dam is an American professional wrestler and former WWE and ECW star known for his high-flying style and innovative offensive moves.
-
C.
Lex Luger
Lex Luger is an American record producer known for pioneering the bombastic, hard-hitting trap sound that shaped early 2010s hip-hop.
-
D.
Lex Luger
Lex Luger is an American former professional wrestler best known for his time in WCW and WWE during the 1990s, where he was a multiple-time champion and a prominent main-event star.
-
E.
Luther Van Dam
Luther Van Dam is a bumbling yet lovable assistant football coach on the sitcom "Coach," known for his comedic antics and loyalty to head coach Hayden Fox.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65881e2c8190aa5b57759885b2bb |
completed | March 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43caec588190880c47f11d3f2daf |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:21 p.m.