Triple
T22634594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherman |
E558644
|
entity |
| Predicate | hasNotableArtsBearer |
P149016
|
FINISHED |
| Object | Al Sherman |
—
|
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: Al Sherman | Statement: [Sherman, hasNotableArtsBearer, Al Sherman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Sherman Context triple: [Sherman, hasNotableArtsBearer, Al Sherman]
-
A.
Al Sherman
chosen
Al Sherman was a prominent American songwriter of the early 20th century known for composing numerous popular tunes for Tin Pan Alley and Hollywood.
-
B.
James Sherman
James Sherman is a lyricist best known for writing the words to the jazz standard "Lover Man (Oh, Where Can You Be?)."
-
C.
Robert B. Sherman
Robert B. Sherman was an American songwriter best known as one half of the Sherman Brothers duo, who wrote many iconic songs for Disney films such as "Mary Poppins" and "The Jungle Book."
-
D.
Stanford Sherman
Stanford Sherman is an American screenwriter best known for his work on genre films in the 1970s and 1980s, including action-comedies and science fiction/fantasy movies.
-
E.
Herb Sendek
Herb Sendek is an American college basketball coach best known for leading programs such as North Carolina State and Arizona State University.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700d492081909bab8d9dbb1faef2 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:03 p.m.