Triple
T16262048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Mir |
E394777
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object |
Syndicate MMA
Syndicate MMA is a Las Vegas–based mixed martial arts gym and training facility known for developing professional fighters across major organizations.
|
E1204102
|
NE FINISHED |
How this triple was built (4 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: Syndicate MMA | Statement: [Frank Mir, team, Syndicate MMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syndicate MMA Context triple: [Frank Mir, team, Syndicate MMA]
-
A.
Sanford MMA
Sanford MMA is a prominent mixed martial arts training gym known for developing elite UFC fighters and world champions.
-
B.
MMArena
MMArena is a modern football stadium in Le Mans, France, primarily used for hosting Le Mans FC’s home matches and other sporting events.
-
C.
Mjölnir MMA
Mjölnir MMA is an Icelandic mixed martial arts gym and training team known for producing high-level fighters such as UFC welterweight Gunnar Nelson.
-
D.
MMA
MMA is the commonly used acronym for the Chilean Ministry of Environment, the government body responsible for environmental policy and regulation in Chile.
-
E.
MMA
The Music Modernization Act is a U.S. law that modernizes music licensing and royalty payments for songwriters and rights holders in the digital streaming era.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Syndicate MMA Triple: [Frank Mir, team, Syndicate MMA]
Generated description
Syndicate MMA is a Las Vegas–based mixed martial arts gym and training facility known for developing professional fighters across major organizations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Syndicate MMA Target entity description: Syndicate MMA is a Las Vegas–based mixed martial arts gym and training facility known for developing professional fighters across major organizations.
-
A.
Sanford MMA
Sanford MMA is a prominent mixed martial arts training gym known for developing elite UFC fighters and world champions.
-
B.
MMArena
MMArena is a modern football stadium in Le Mans, France, primarily used for hosting Le Mans FC’s home matches and other sporting events.
-
C.
Mjölnir MMA
Mjölnir MMA is an Icelandic mixed martial arts gym and training team known for producing high-level fighters such as UFC welterweight Gunnar Nelson.
-
D.
MMA
MMA is the commonly used abbreviation for Brazil’s Ministry of the Environment, the federal body responsible for environmental policy and conservation in the country.
-
E.
MMA
MMA is the commonly used acronym for the Chilean Ministry of Environment, the government body responsible for environmental policy and regulation in Chile.
- F. None of above. chosen
Provenance (5 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c4a0b08190af3574f087205afc |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b5f3a8819083128cf2b90cfd84 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a001978fed48190963b327da30c31f0 |
completed | May 10, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a0def548190a1d800f858f3cb02 |
completed | May 10, 2026, 5:39 a.m. |
Created at: April 10, 2026, 5:04 a.m.