Triple
T11821160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Best |
E281134
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tim Best |
E281134
|
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: Tim Best | Statement: [Tim Best, name, Tim Best]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Best Context triple: [Tim Best, name, Tim Best]
-
A.
Tim Best
chosen
Tim Best is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Best.
-
B.
Matthew Best
Matthew Best is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Best.
-
C.
Roger Best
Roger Best is a relatively obscure individual whose name is shared with several people, including academics and public figures, rather than a single widely recognized notable person.
-
D.
Tim Besse
Tim Besse is an American entrepreneur best known as a co-founder of the employee review and job-listing platform Glassdoor.
-
E.
Paul Best
Paul Best was a 17th-century English theologian and scholar known for his unorthodox religious views, including early anti-Trinitarian beliefs.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e87e488190905bc3bb6d721e56 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131e1891081909cfbd9e2eb168808 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 8, 2026, 9:42 p.m.