Triple
T8777522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Hexum |
E208630
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nick Hexum |
E208630
|
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: Nick Hexum | Statement: [Nick Hexum, name, Nick Hexum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Hexum Context triple: [Nick Hexum, name, Nick Hexum]
-
A.
Nick Hexum
chosen
Nick Hexum is an American musician best known as the lead vocalist and guitarist of the rock band 311.
-
B.
Sam Catchem
Sam Catchem is a tough, streetwise police detective and longtime partner of Dick Tracy in the classic American comic strip.
-
C.
Joe Hicks
Joe Hicks is a former American Major League Baseball outfielder who played in the early 1960s, primarily known for his time with the Washington Senators and New York Mets.
-
D.
Mark Hogancamp
Mark Hogancamp is an American artist and photographer known for creating an elaborate miniature World War II-era town as a form of self-therapy after surviving a brutal assault, a story depicted in the film "Welcome to Marwen."
-
E.
Michael Sexton
Michael Sexton is an American businessman best known for co-founding and running the controversial real estate training venture Trump University alongside Donald Trump.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f51b3d48190b542a0423d3938e0 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab596ef88190b538d15b0d71e176 |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:42 p.m.