Triple
T14238565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant Benton |
E352949
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
John Levene
John Levene is a British actor best known for playing UNIT soldier Sergeant Benton in the classic science fiction television series Doctor Who.
|
E1139656
|
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: John Levene | Statement: [Sergeant Benton, portrayedBy, John Levene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Levene Context triple: [Sergeant Benton, portrayedBy, John 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.
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.
-
C.
Sam Levine
Sam Levine is an American animation director and storyboard artist known for co-directing the superhero comedy film "DC League of Super-Pets."
-
D.
Gene Levitt
Gene Levitt was an American television writer and producer best known for creating the popular 1970s–80s anthology series "Fantasy Island."
-
E.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
- 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: John Levene Triple: [Sergeant Benton, portrayedBy, John Levene]
Generated description
John Levene is a British actor best known for playing UNIT soldier Sergeant Benton in the classic science fiction television series Doctor Who.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Levene Target entity description: John Levene is a British actor best known for playing UNIT soldier Sergeant Benton in the classic science fiction television series Doctor Who.
-
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.
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.
-
C.
Sam Levine
Sam Levine is an American animation director and storyboard artist known for co-directing the superhero comedy film "DC League of Super-Pets."
-
D.
Gene Levitt
Gene Levitt was an American television writer and producer best known for creating the popular 1970s–80s anthology series "Fantasy Island."
-
E.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfcd67f081909f97bcf38d814a13 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec04c1f1c8190bbd2ada725505ca6 |
completed | May 9, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec0da6e54819090f25bd0eee128d6 |
completed | May 9, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:08 a.m.