Triple
T13263487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 91 |
E315856
|
entity |
| Predicate | fighterOnCard |
P109204
|
FINISHED |
| Object |
Mark Bocek
Mark Bocek is a Canadian mixed martial artist and Brazilian jiu-jitsu specialist best known for competing in the UFC's lightweight division.
|
E1030786
|
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: Mark Bocek | Statement: [UFC 91, fighterOnCard, Mark Bocek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Bocek Context triple: [UFC 91, fighterOnCard, Mark Bocek]
-
A.
Marc Sirkin
Marc Sirkin is a local political leader who serves as the mayor of Blue Ash, Ohio.
-
B.
David Burtka
David Burtka is an American actor and professional chef known for his work on stage and screen and for his long-term relationship and marriage to Neil Patrick Harris.
-
C.
Adam Bock
Adam Bock is a Canadian-American playwright known for his darkly comic, character-driven works frequently produced in contemporary American theater.
-
D.
Tony Kubek
Tony Kubek is a former Major League Baseball shortstop and longtime television broadcaster best known for his work as a color commentator on national baseball telecasts.
-
E.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
- 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: Mark Bocek Triple: [UFC 91, fighterOnCard, Mark Bocek]
Generated description
Mark Bocek is a Canadian mixed martial artist and Brazilian jiu-jitsu specialist best known for competing in the UFC's lightweight division.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Bocek Target entity description: Mark Bocek is a Canadian mixed martial artist and Brazilian jiu-jitsu specialist best known for competing in the UFC's lightweight division.
-
A.
Marc Sirkin
Marc Sirkin is a local political leader who serves as the mayor of Blue Ash, Ohio.
-
B.
David Burtka
David Burtka is an American actor and professional chef known for his work on stage and screen and for his long-term relationship and marriage to Neil Patrick Harris.
-
C.
Adam Bock
Adam Bock is a Canadian-American playwright known for his darkly comic, character-driven works frequently produced in contemporary American theater.
-
D.
Tony Kubek
Tony Kubek is a former Major League Baseball shortstop and longtime television broadcaster best known for his work as a color commentator on national baseball telecasts.
-
E.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a48bc488190a5cf692d81bdcbba |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b5dbcc4819081b5ba410e319eb7 |
completed | May 3, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c4c6f908190b2ebc2a90b049e59 |
completed | May 3, 2026, 8:50 a.m. |
Created at: April 9, 2026, 9:25 p.m.