Triple
T13297560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Kroenke |
E316724
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kroenke |
E996601
|
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: Kroenke | Statement: [Josh Kroenke, familyName, Kroenke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kroenke Context triple: [Josh Kroenke, familyName, Kroenke]
-
A.
Kroenke
chosen
Kroenke is a prominent American billionaire real estate and sports mogul best known for owning multiple major professional sports franchises, including the Los Angeles Rams, Denver Nuggets, and Arsenal FC.
-
B.
Kroll
Kroll is a surname most notably associated with Colin Kroll, the American entrepreneur and co-founder of Vine and HQ Trivia.
-
C.
Kiepenkerl
Kiepenkerl is a sculptural artwork by Jeff Koons that depicts a traditional German peddler figure in polished stainless steel, exemplifying his interest in banality and kitsch.
-
D.
Neukom
Neukom is a surname most notably associated with Bill Neukom, an American lawyer, former Microsoft executive, and former CEO of the San Francisco Giants.
-
E.
Sculley
Sculley is a surname most prominently associated with John Sculley, the former Apple CEO and influential American business executive.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a2f2708190a8f2aa7e7c0b92d2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716dd0cd88190b0ae81b402fc31cf |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.