Triple
T3904453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Warner |
E90571
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kurtis |
E90571
|
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: Kurtis | Statement: [Kurt Warner, givenName, Kurtis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurtis Context triple: [Kurt Warner, givenName, Kurtis]
-
A.
Kurtis
chosen
Kurtis is the given first name of Kurt Warner, the Hall of Fame former NFL quarterback known for his remarkable rise from undrafted free agent to Super Bowl champion.
-
B.
Jake Curtis
Jake Curtis is a British filmmaker and photographer, known as the son of screenwriter-director Richard Curtis and broadcaster Emma Freud.
-
C.
Luke Kleintank
Luke Kleintank is an American actor best known for his role as Joe Blake in the television series "The Man in the High Castle."
-
D.
Dustin Kiel
Dustin Kiel is a musician best known for his work with the indie supergroup Gayngs.
-
E.
Ryan Brant
Ryan Brant was an American businessman best known as the founding CEO of video game publisher Take-Two Interactive, the company behind major franchises like Grand Theft Auto.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed0fb9888190add847806555a14a |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51ca9d32881908538065ee71b31c2 |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:22 p.m.