Triple
T3151163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Michael Most |
E65879
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Michael Most |
E65879
|
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: John Michael Most | Statement: [John Michael Most, name, John Michael Most]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Michael Most Context triple: [John Michael Most, name, John Michael Most]
-
A.
John Michael Most
chosen
John Michael Most was a legendary American sports broadcaster best known as the longtime, passionately partisan radio voice of the Boston Celtics.
-
B.
Jeremy Brock
Jeremy Brock is a British screenwriter and director known for his work on films such as "The Last King of Scotland" and "Mrs Brown."
-
C.
Warren Spady
Warren Spady is a designer best known for creating the trophy awarded in the historic Oregon–Oregon State college football rivalry.
-
D.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
-
E.
Jeffrey Dean
Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5c145248190843ff3b1701074a1 |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224fd22ac81909867d0cc150986a5 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.