Triple
T12653219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 2012 |
E302216
|
entity |
| Predicate | manOfTheMatch |
P2630
|
FINISHED |
| Object | Omar Gonzalez |
E479998
|
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: Omar Gonzalez | Statement: [MLS Cup 2012, manOfTheMatch, Omar Gonzalez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omar Gonzalez Context triple: [MLS Cup 2012, manOfTheMatch, Omar Gonzalez]
-
A.
Omar Gonzalez
chosen
Omar Gonzalez is an American professional soccer defender best known for his standout tenure with LA Galaxy and contributions to the United States national team.
-
B.
Omar Navarro
Omar Navarro is a powerful and ruthless Mexican drug cartel boss who serves as a central antagonist in the television series "Ozark."
-
C.
Ricardo Morales
Ricardo Morales is a grieving husband whose obsessive quest for justice drives much of the emotional and moral tension in the Argentine crime drama film "The Secret in Their Eyes."
-
D.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
E.
Frank Dominguez
Frank Dominguez is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdee8d1408190942ff455e7b1b6e2 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 5:18 p.m.