Triple
T15996600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rande Gerber |
E387982
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object | Mike Meldman |
E387983
|
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: Mike Meldman | Statement: [Rande Gerber, businessPartner, Mike Meldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Meldman Context triple: [Rande Gerber, businessPartner, Mike Meldman]
-
A.
Mike Meldman
chosen
Mike Meldman is an American real estate developer and entrepreneur best known as a co-founder of the Casamigos Tequila brand alongside George Clooney and Rande Gerber.
-
B.
Michael Dokes
Michael Dokes was an American professional heavyweight boxer and former WBA heavyweight champion known for his fast hands and notable fights during the 1980s and early 1990s.
-
C.
Mel Leven
Mel Leven was an American songwriter best known for composing songs for Disney, including work on the animated film "One Hundred and One Dalmatians."
-
D.
Andy Jurgensen
Andy Jurgensen is a film editor known for his work on acclaimed movies such as Licorice Pizza.
-
E.
Paul Hager
Paul Hager is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data, with no widely documented achievements or biography.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157882ef0819081143e530bd6413c |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d79dec8190b02e003f93e5dad6 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.