Triple
T3205070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diff'rent Strokes |
E67141
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Al Burton |
E289278
|
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: Al Burton | Statement: [Diff'rent Strokes, composer, Al Burton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Burton Context triple: [Diff'rent Strokes, composer, Al Burton]
-
A.
Al Burton
chosen
Al Burton was an American television producer and composer best known for his work on popular sitcoms such as "The Facts of Life."
-
B.
Don Walker
Don Walker was a prominent American orchestrator and arranger best known for his work on numerous Broadway musicals in the mid-20th century.
-
C.
Tony Roberts
Tony Roberts is an American actor best known for his frequent collaborations with Woody Allen in films such as "Annie Hall."
-
D.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
E.
Don Burgess
Don Burgess is an American cinematographer best known for his Oscar-nominated work on the film "Forrest Gump" and his frequent collaborations with director Robert Zemeckis.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa559848819082d1e61f586278dd |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28e864a1c8190b56ab9e80f72e48c |
completed | March 12, 2026, 9:59 a.m. |
Created at: March 8, 2026, 3:07 p.m.