Triple
T21764392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Tide |
E537239
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Peter Best |
—
|
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: Peter Best | Statement: [High Tide, musicBy, Peter Best]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Best Context triple: [High Tide, musicBy, Peter Best]
-
A.
Peter Best
chosen
Peter Best is an Australian film and television composer known for scoring numerous productions, including the drama film "High Tide" (1987).
-
B.
Jon Tooker
Jon Tooker is an academic researcher, likely in agriculture or ecology, known for contributing scholarly work such as the study titled "The Use of Ashes."
-
C.
Charles Watts
Charles Watts was an American character actor known for his supporting roles in mid-20th-century film and television.
-
D.
Pete Best
Pete Best is an English drummer best known as the original drummer for the Beatles before being replaced by Ringo Starr just prior to the band’s rise to fame.
-
E.
Chris Best
Chris Best is a Canadian entrepreneur and software developer best known as the co-founder and CEO of the newsletter platform Substack.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.