Triple
T16391642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabricio Werdum |
E398065
|
entity |
| Predicate | defeated |
P4779
|
FINISHED |
| Object | Travis Browne |
E1111617
|
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: Travis Browne | Statement: [Fabricio Werdum, defeated, Travis Browne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travis Browne Context triple: [Fabricio Werdum, defeated, Travis Browne]
-
A.
Travis Browne
chosen
Travis Browne is an American former mixed martial artist best known for competing as a heavyweight in the UFC.
-
B.
Travis Baldree
Travis Baldree is a game designer and developer best known for his work on the action RPG Torchlight and later as an award-winning fantasy audiobook narrator and author.
-
C.
Travis Oates
Travis Oates is an American voice actor best known for portraying Piglet in modern Winnie the Pooh productions.
-
D.
Trevor Macy
Trevor Macy is an American film and television producer best known for his work in the horror and thriller genres, frequently collaborating with filmmaker Mike Flanagan on projects such as "The Haunting of Hill House" and "Doctor Sleep."
-
E.
Travis Champagne
Travis Champagne is an actor known for his role in the 2006 film adaptation of "All the King's Men."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326436ce881909f0f3899b8d931aa |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003573c6d48190979201b9619c5103 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.