Triple
T17441965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega European Masters |
E424677
|
entity |
| Predicate | firstWinnerName |
P11366
|
FINISHED |
| Object | Aubrey Boomer |
—
|
NE NERFINISHED |
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: Aubrey Boomer | Statement: [Omega European Masters, firstWinnerName, Aubrey Boomer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aubrey Boomer Context triple: [Omega European Masters, firstWinnerName, Aubrey Boomer]
-
A.
Aubrey Miller
Aubrey Miller is the teenage protagonist of the romantic drama film "The First Time," whose experiences with first love and self-discovery drive the story.
-
B.
Austin Abrams
Austin Abrams is an American actor known for his roles in films like "Paper Towns" and TV series such as "Euphoria" and "Dash & Lily."
-
C.
Aubrey Lee
Aubrey Lee is a television producer best known for serving as an executive producer on the mystery-comedy series "The Afterparty."
-
D.
Aubrey Mather
Aubrey Mather was a British character actor known for his numerous supporting roles in films from the 1930s to the 1950s.
-
E.
Aubrey Woods
Aubrey Woods was a British actor best known for his role as Bill the Candy Man in the 1971 film "Willy Wonka & the Chocolate Factory."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aubrey Boomer Target entity description: Aubrey Boomer was a prominent early 20th-century professional golfer from Jersey known for multiple tournament victories on the European circuit.
-
A.
Aubrey Miller
Aubrey Miller is the teenage protagonist of the romantic drama film "The First Time," whose experiences with first love and self-discovery drive the story.
-
B.
Austin Abrams
Austin Abrams is an American actor known for his roles in films like "Paper Towns" and TV series such as "Euphoria" and "Dash & Lily."
-
C.
Aubrey Lee
Aubrey Lee is a television producer best known for serving as an executive producer on the mystery-comedy series "The Afterparty."
-
D.
Aubrey Mather
Aubrey Mather was a British character actor known for his numerous supporting roles in films from the 1930s to the 1950s.
-
E.
Aubrey Woods
Aubrey Woods was a British actor best known for his role as Bill the Candy Man in the 1971 film "Willy Wonka & the Chocolate Factory."
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWinnerName Context triple: [Omega European Masters, firstWinnerName, Aubrey Boomer]
-
A.
firstWinner
chosen
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
B.
firstRunningWinner
Indicates that the subject is the first entity to win among those participating in a running event or race.
-
C.
firstTitleForWinner
Indicates that the associated title is the first title ever won by the specified winner.
-
D.
winnerFullName
Indicates the full personal name of the entity that is the winner in a given event or competition.
-
E.
winnerNickname
Indicates the nickname used to refer to the entity that has won a particular contest, event, or competition.
- F. None of above.
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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff82bbc819095dd0621137da809 |
completed | April 19, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.