Triple
T4032694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XFL |
E83751
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | Dany Garcia |
E164655
|
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: Dany Garcia | Statement: [XFL, acquiredBy, Dany Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dany Garcia Context triple: [XFL, acquiredBy, Dany Garcia]
-
A.
Dany Garcia
chosen
Dany Garcia is an American businesswoman, film producer, and talent manager known for co-founding Seven Bucks Productions and producing major Hollywood films alongside Dwayne Johnson.
-
B.
Curt Bisquera
Curt Bisquera is an American session and touring drummer known for his work with major rock and pop artists, including Tom Petty and the Heartbreakers.
-
C.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
D.
Hiram Garcia
Hiram Garcia is a film producer and longtime collaborator of Dwayne Johnson, known for producing major action and adventure movies through Seven Bucks Productions.
-
E.
Rich Garcia
Rich Garcia is a former Major League Baseball umpire best known for working numerous postseason games, including serving as a crew chief in the 1990s.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0f776881909db6b7df1db7664c |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563b6d8c8190862597ea39b56de1 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.