Triple
T21542728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bennie |
E531532
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Benny |
—
|
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: Benny | Statement: [Bennie, hasSpellingVariant, Benny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benny Context triple: [Bennie, hasSpellingVariant, Benny]
-
A.
Benny
Benny is a skilled and loyal member of Tobey Marshall’s street-racing crew in the film "Need for Speed."
-
B.
Benny
Benny is a key character in the musical "In the Heights," known as a hardworking dispatcher and close member of Usnavi's Washington Heights community.
-
C.
Benny
chosen
Benny is a common diminutive form of the given name Benedict, often used as a familiar or affectionate nickname.
-
D.
Benny
Benny is a character from the musical "Proud Mary," contributing to the story’s dramatic and emotional narrative.
-
E.
Benny
Benny is the hyperactive, 1980s-style blue spaceman from The Lego Movie, obsessed with building and piloting spaceships.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58c34808190b0eb54ba01e2cc13 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.