Triple
T22338542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Devils |
E552213
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Red Devils |
—
|
NE NERFINISHED |
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: Red Devils | Statement: [The Red Devils, shortName, Red Devils]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Devils Context triple: [The Red Devils, shortName, Red Devils]
-
A.
Red Devils
Red Devils is the famous nickname of the British 6th Airborne Division, an elite World War II paratroop unit known for its daring airborne operations.
-
B.
Red Devils
The Red Devils are the intercollegiate athletic teams representing Dickinson College in Carlisle, Pennsylvania.
-
C.
Red Devils
Red Devils is the popular nickname of the Belgium national football team, known for its strong performances in international competitions and its talented "golden generation" of players.
-
D.
Red Devils
chosen
Red Devils is a widely used nickname in sports, most famously associated with Manchester United Football Club and several national teams.
-
E.
Red Devils
Red Devils is the mascot name representing the athletic teams and school spirit of Halls High School.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1578184f481908d4ec1737a8a72d4 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.