Triple
T14770051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Omaha |
E347105
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object | Gary Green |
E1118806
|
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: Gary Green | Statement: [Union Omaha, chairman, Gary Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Green Context triple: [Union Omaha, chairman, Gary Green]
-
A.
Gary Green
Gary Green is a musician known for his work with the new wave band Tom Tom Club.
-
B.
Gary Green
chosen
Gary Green is an American businessman and sports executive best known for owning multiple minor league baseball teams and the USL League One soccer club Union Omaha.
-
C.
Matt Turner
Matt Turner is a video game writer best known for his work on the historical action-adventure title Assassin's Creed III.
-
D.
Matt Turner
Matt Turner is an American professional soccer goalkeeper known for his standout performances in Major League Soccer and for representing the United States national team.
-
E.
Jake Green
Jake Green is the troubled professional gambler and ex-con protagonist of Guy Ritchie's 2005 crime thriller film "Revolver."
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81334e08190a77d760e507d00ed |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b41df881908119e183b8299c48 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.