Triple
T3819418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Most |
E84336
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Don Most
Don Most is an American actor and singer best known for playing Ralph Malph on the classic television sitcom "Happy Days."
|
E390542
|
NE FINISHED |
How this triple was built (4 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: Don Most | Statement: [Don Most, name, Don Most]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Most Context triple: [Don Most, name, Don Most]
-
A.
Dennis Crosby
Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
-
B.
Bob Wells
Bob Wells is a real-life van-dwelling nomad, YouTube personality, and advocate for alternative, minimalist living who appears as himself in the film "Nomadland."
-
C.
Bob Wells
Bob Wells was an American songwriter best known for co-writing the classic holiday standard "The Christmas Song (Chestnuts Roasting on an Open Fire)."
-
D.
Johnny Most
Johnny Most was a legendary American sports broadcaster best known as the longtime, passionately partisan radio voice of the Boston Celtics.
-
E.
Ernie McCracken
Ernie McCracken is the flamboyantly villainous professional bowler and main antagonist portrayed by Bill Murray in the comedy film "Kingpin."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Don Most Triple: [Don Most, name, Don Most]
Generated description
Don Most is an American actor and singer best known for playing Ralph Malph on the classic television sitcom "Happy Days."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Don Most Target entity description: Don Most is an American actor and singer best known for playing Ralph Malph on the classic television sitcom "Happy Days."
-
A.
Dennis Crosby
Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
-
B.
Bob Wells
Bob Wells is a real-life van-dwelling nomad, YouTube personality, and advocate for alternative, minimalist living who appears as himself in the film "Nomadland."
-
C.
Bob Wells
Bob Wells was an American songwriter best known for co-writing the classic holiday standard "The Christmas Song (Chestnuts Roasting on an Open Fire)."
-
D.
Johnny Most
Johnny Most was a legendary American sports broadcaster best known as the longtime, passionately partisan radio voice of the Boston Celtics.
-
E.
Ernie McCracken
Ernie McCracken is the flamboyantly villainous professional bowler and main antagonist portrayed by Bill Murray in the comedy film "Kingpin."
- F. None of above. chosen
Provenance (5 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea601d408190b09dc486e77488d4 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb466a108190ac203ee00ce58f04 |
completed | March 14, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_69b4fc08d65081908953482b10fa5611 |
completed | March 14, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fc7d8cf081909c4447818b5363c5 |
completed | March 14, 2026, 6:13 a.m. |
Created at: March 9, 2026, 3:17 p.m.