Triple
T18289755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man Who Came Back (1924 film) |
E438079
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Ralph Dixon
Ralph Dixon was a film editor active during the silent era of American cinema.
|
E1320620
|
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: Ralph Dixon | Statement: [The Man Who Came Back (1924 film), editor, Ralph Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Dixon Context triple: [The Man Who Came Back (1924 film), editor, Ralph Dixon]
-
A.
Percy Wetmore
Percy Wetmore is a cruel, sadistic prison guard in Stephen King’s novel and its film adaptation "The Green Mile," known for abusing his power over death row inmates.
-
B.
Ralph Hancock
Ralph Hancock was a prominent Welsh landscape architect best known for creating innovative rooftop gardens in the early 20th century.
-
C.
Ralph Dunn
Ralph Dunn was an American character actor known for his numerous supporting roles in mid-20th-century films and television.
-
D.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
E.
Walter Darre
Walter Darré was a leading Nazi official and ideologue of "blood and soil" agrarianism who served as Reich Minister of Food and Agriculture and was later tried as a war criminal after World War II.
- 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: Ralph Dixon Triple: [The Man Who Came Back (1924 film), editor, Ralph Dixon]
Generated description
Ralph Dixon was a film editor active during the silent era of American cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ralph Dixon Target entity description: Ralph Dixon was a film editor active during the silent era of American cinema.
-
A.
Percy Wetmore
Percy Wetmore is a cruel, sadistic prison guard in Stephen King’s novel and its film adaptation "The Green Mile," known for abusing his power over death row inmates.
-
B.
Ralph Hancock
Ralph Hancock was a prominent Welsh landscape architect best known for creating innovative rooftop gardens in the early 20th century.
-
C.
Ralph Dunn
Ralph Dunn was an American character actor known for his numerous supporting roles in mid-20th-century films and television.
-
D.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
E.
Walter Darre
Walter Darré was a leading Nazi official and ideologue of "blood and soil" agrarianism who served as Reich Minister of Food and Agriculture and was later tried as a war criminal after World War II.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fd65888190afdbb29dc60066af |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d7676e748190ba2b6db0a4a20da9 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d80cbd708190b9b54ff85c5ec66c |
completed | May 13, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8a25460819090f1ffa15f05a716 |
completed | May 13, 2026, 1:49 a.m. |
Created at: April 10, 2026, 10:35 a.m.