Triple
T18922100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Dale Bell |
E462882
|
entity |
| Predicate | familyName |
P18
|
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: [Lawrence Dale Bell, familyName, Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bell Context triple: [Lawrence Dale Bell, familyName, Bell]
-
A.
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.
-
B.
Bell
Bell is a major Canadian telecommunications company providing phone, internet, television, and wireless services nationwide.
-
C.
Bell
Bell was an American record label imprint used as a catalog number prefix for releases on Bell Records.
-
D.
Bell
chosen
Bell is a common English surname notably associated with inventor Alexander Graham Bell, pioneer of the telephone.
-
E.
Bell
Bell is a suburban railway station in Melbourne, Australia, serving the Mernda line in the city’s northern suburbs.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b4822c8190a0aeceb4499e775e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.