Triple
T16098276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Most |
E390542
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Donald Most |
E390542
|
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: Donald Most | Statement: [Don Most, birthName, Donald Most]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Most Context triple: [Don Most, birthName, Donald Most]
-
A.
Don Most
chosen
Don Most is an American actor and singer best known for playing Ralph Malph on the classic television sitcom "Happy Days."
-
B.
Walter Murphy
Walter Murphy is an American composer, arranger, and pianist best known for his disco-era hit "A Fifth of Beethoven" and for scoring numerous film and television projects, including collaborations with Seth MacFarlane.
-
C.
Ronald Lenhoff
Ronald Lenhoff is a songwriter best known for co-writing James Brown’s influential funk track "Get Up (I Feel Like Being a) Sex Machine."
-
D.
George Zames
George Zames was a prominent control theorist known for his foundational contributions to robust control and H-infinity methods in systems engineering.
-
E.
Joseph Stern
Joseph Stern is a television and film producer best known for his work on the legal drama series "Judging Amy."
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff29f9f2881909b96860ee23d8ada |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.