Triple
T21542736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bennie Moten |
E531533
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moten |
—
|
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: Moten | Statement: [Bennie Moten, familyName, Moten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moten Context triple: [Bennie Moten, familyName, Moten]
-
A.
Moten
chosen
Moten is a surname most notably associated with Bennie Moten, an influential American jazz pianist and bandleader from Kansas City.
-
B.
Moton
Moton is a surname most notably associated with Robert Russa Moton, an influential African-American educator and leader in the early 20th century.
-
C.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
D.
Bennie
Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
-
E.
Bennie
Bennie is a small-time criminal in the Marvel Cinematic Universe who finds a discarded Chitauri weapon and uses it for a crime spree in the short film "Marvel One-Shot: Item 47."
- 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.