Triple
T4490500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallace Beery |
E107359
|
entity |
| Predicate | awardReceivedFor |
P107
|
FINISHED |
| Object | The Champ |
E271749
|
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: The Champ | Statement: [Wallace Beery, awardReceivedFor, The Champ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Champ Context triple: [Wallace Beery, awardReceivedFor, The Champ]
-
A.
The Champ
chosen
The Champ is a 1931 American drama film directed by King Vidor, renowned for its poignant story of a washed-up boxer and his devoted young son.
-
B.
The Champion
"The Champion" is a 1915 silent comedy film starring Charlie Chaplin as an underdog boxer who humorously battles his way through the prizefighting world.
-
C.
Champ
Champ is the Dallas Mavericks’ horse-themed team mascot known for energizing crowds at their NBA games.
-
D.
Champ
Champ is a supporting character in the action-spy film "Kingsman: The Golden Circle," serving as a high-ranking member of the American Statesman organization.
-
E.
Champ Kind
Champ Kind is a loud, boisterous sportscaster and member of the Channel 4 news team in the comedy film "Anchorman: The Legend of Ron Burgundy," known for his over-the-top enthusiasm and catchphrases.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556e69f88190b9c16afc2afcdbef |
completed | March 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f8190e88190aec651ac9fe9ef92 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 12:59 p.m.