Triple
T5398207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guys and Dolls |
E120708
|
entity |
| Predicate | originalBroadwayStar |
P4737
|
FINISHED |
| Object |
Sam Levene
Sam Levene was a prominent American stage and film actor best known for his comic and character roles in mid-20th-century Broadway productions and Hollywood movies.
|
E569690
|
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: Sam Levene | Statement: [Guys and Dolls, originalBroadwayStar, Sam Levene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Levene Context triple: [Guys and Dolls, originalBroadwayStar, Sam Levene]
-
A.
Philip Levene
Philip Levene was a British television and film writer best known for his work on the 1960s spy series "The Avengers."
-
B.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
-
C.
Leon Levy
Leon Levy was an American investor, philanthropist, and patron of the humanities known for his significant support of archaeology, the arts, and biographical scholarship.
-
D.
Joseph Revson
Joseph Revson was an American businessman best known as a co-founder of the major cosmetics company Revlon.
-
E.
Myron Futterman
Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
- 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: Sam Levene Triple: [Guys and Dolls, originalBroadwayStar, Sam Levene]
Generated description
Sam Levene was a prominent American stage and film actor best known for his comic and character roles in mid-20th-century Broadway productions and Hollywood movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Levene Target entity description: Sam Levene was a prominent American stage and film actor best known for his comic and character roles in mid-20th-century Broadway productions and Hollywood movies.
-
A.
Philip Levene
Philip Levene was a British television and film writer best known for his work on the 1960s spy series "The Avengers."
-
B.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
-
C.
Leon Levy
Leon Levy was an American investor, philanthropist, and patron of the humanities known for his significant support of archaeology, the arts, and biographical scholarship.
-
D.
Joseph Revson
Joseph Revson was an American businessman best known as a co-founder of the major cosmetics company Revlon.
-
E.
Myron Futterman
Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87485d5c819096ae574b1badc9d5 |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124dc89a88190a219eda67e6d933c |
completed | March 23, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c129f2d84481908808481ba48a5aed |
completed | March 23, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c12a5235288190a8db827e1a610cd0 |
completed | March 23, 2026, 11:56 a.m. |
Created at: March 20, 2026, 2:04 p.m.