Triple
T13358537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 100 |
E318758
|
entity |
| Predicate | knockoutOfTheNightRecipient |
P108
|
FINISHED |
| Object | Dan Henderson |
E1037640
|
NE FINISHED |
How this triple was built (3 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: Dan Henderson | Statement: [UFC 100, knockoutOfTheNightRecipient, Dan Henderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Henderson Context triple: [UFC 100, knockoutOfTheNightRecipient, Dan Henderson]
-
A.
Dan Henderson
chosen
Dan Henderson is a retired American mixed martial artist and former Olympic wrestler renowned for his knockout power and championship success in multiple major MMA organizations.
-
B.
Doug Henderson
Doug Henderson is a British Labour politician who served as a Member of Parliament and held several junior ministerial roles in the UK government during the 1990s and early 2000s.
-
C.
Curt Henderson
Curt Henderson is a central character from the coming-of-age film "American Graffiti," portrayed as a thoughtful, somewhat restless teenager on the brink of leaving his small town for college.
-
D.
Cal Henderson
Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
-
E.
Greg Henderson
Greg Henderson is a New Zealand professional cyclist renowned for his success on both the track and road, including world championship titles and multiple Grand Tour appearances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knockoutOfTheNightRecipient Context triple: [UFC 100, knockoutOfTheNightRecipient, Dan Henderson]
-
A.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
-
B.
recipientSport
Indicates that one entity is the sport associated with, received by, or designated for another entity.
-
C.
notableRecipient
chosen
Indicates that an entity has received a notable award, honor, or recognition from another entity.
-
D.
individualRecipient
Indicates that a specific individual is the direct recipient or beneficiary of something (such as an item, message, or action).
-
E.
awardedForToReceive
Indicates that an entity is granted an award or recognition in order to receive it for a specific reason, achievement, or qualifying basis.
- F. None of above.
Provenance (4 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da62887e588190bd7241c720a112a2 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730687e548190ab1504d43f250e09 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.