Triple
T3017817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | None but the Lonely Heart |
E82378
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Roland Gross
Roland Gross was a film editor active in mid-20th-century American cinema, known for his work on various Hollywood productions.
|
E319634
|
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: Roland Gross | Statement: [None but the Lonely Heart, editedBy, Roland Gross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roland Gross Context triple: [None but the Lonely Heart, editedBy, Roland Gross]
-
A.
Roland Totheroh
Roland Totheroh was an American cinematographer best known for his long collaboration with Charlie Chaplin, shaping the visual style of many of Chaplin’s classic films.
-
B.
Bruno Beger
Bruno Beger was a German SS anthropologist and war criminal involved in Nazi racial research and atrocities during World War II.
-
C.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
-
D.
Bruno Loerzer
Bruno Loerzer was a prominent German First World War fighter ace who later became a high-ranking Luftwaffe general during the Nazi era.
-
E.
Bruno Bräuer
Bruno Bräuer was a German Luftwaffe general during World War II, known for commanding airborne and occupation forces in the Mediterranean and on Crete.
- 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: Roland Gross Triple: [None but the Lonely Heart, editedBy, Roland Gross]
Generated description
Roland Gross was a film editor active in mid-20th-century American cinema, known for his work on various Hollywood productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roland Gross Target entity description: Roland Gross was a film editor active in mid-20th-century American cinema, known for his work on various Hollywood productions.
-
A.
Roland Totheroh
Roland Totheroh was an American cinematographer best known for his long collaboration with Charlie Chaplin, shaping the visual style of many of Chaplin’s classic films.
-
B.
Bruno Beger
Bruno Beger was a German SS anthropologist and war criminal involved in Nazi racial research and atrocities during World War II.
-
C.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
-
D.
Bruno Loerzer
Bruno Loerzer was a prominent German First World War fighter ace who later became a high-ranking Luftwaffe general during the Nazi era.
-
E.
Bruno Bräuer
Bruno Bräuer was a German Luftwaffe general during World War II, known for commanding airborne and occupation forces in the Mediterranean and on Crete.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a90ea64819080620e60bbd6aa24 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e71a9c08190848ecb3bcab18bb5 |
completed | March 11, 2026, 8:57 a.m. |
| NEDg | Description generation | batch_69b132319fd481908426670f319f56c5 |
completed | March 11, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1d6729f848190a275638f074c1729 |
completed | March 11, 2026, 8:54 p.m. |
Created at: March 8, 2026, 3 p.m.