Triple
T20434959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All or Nothing at All |
E501227
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Arthur Altman |
—
|
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: Arthur Altman | Statement: [All or Nothing at All, composer, Arthur Altman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Altman Context triple: [All or Nothing at All, composer, Arthur Altman]
-
A.
Arthur Altman
chosen
Arthur Altman was an American songwriter and composer best known for creating melodies for numerous popular standards recorded by major artists in the mid-20th century.
-
B.
James Altman
James Altman is the son of American lawyer and video game executive Robert A. Altman.
-
C.
Douglas Shulman
Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
-
D.
Sidney J. Furie
Sidney J. Furie is a Canadian film director known for his work in action and genre cinema, including influential titles like "The Ipcress File" and various 1980s action films.
-
E.
Charles Lachman
Charles Lachman was a businessman and entrepreneur best known as a co-founder of the American cosmetics company Revlon.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ee758c8190b267b7ce71de8f8c |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.