Triple
T22887788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell M. Shimada |
E567652
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bell |
—
|
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: Bell | Statement: [Bell M. Shimada, givenName, Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bell Context triple: [Bell M. Shimada, givenName, Bell]
-
A.
Bell
chosen
Bell is the middle name of the 19th-century American Confederate general John Bell Hood.
-
B.
Bell
Bell is a small, predominantly working-class city in southeastern Los Angeles County, California, known for its location in the Gateway Cities region and past municipal corruption scandals.
-
C.
Bell
Bell is a major Canadian telecommunications company providing phone, internet, television, and wireless services nationwide.
-
D.
Bell
Bell was an American record label imprint used as a catalog number prefix for releases on Bell Records.
-
E.
Bell
Bell is a sound-themed Copy Ability in the Kirby series that lets Kirby attack and defend using ringing bells and sonic vibrations.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc2adb4819081bce7e6849ba31a |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.