Triple
T16842050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitch Benn |
E409436
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Benn |
E371343
|
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: Benn | Statement: [Mitch Benn, familyName, Benn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benn Context triple: [Mitch Benn, familyName, Benn]
-
A.
Benn
chosen
Benn is a surname most prominently associated with Canadian professional ice hockey player Jamie Benn.
-
B.
Bennie
Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
-
C.
Benni
Benni is the volatile, traumatized young girl at the center of the German drama film "System Crasher," portrayed by Helena Zengel.
-
D.
Ben Benny
Ben Benny is an alternate or lesser-known name associated with the American folklore giant Paul Bunyan.
-
E.
Benji
Benji is a given name shared by various individuals, including historical and contemporary figures across different fields.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35167a48190b45a459023e3ab1b |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb199168819080a9ddc7534f19a7 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.