Triple
T10737373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Rosie |
E253227
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Michael Beckmann
Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
|
E899174
|
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: Michael Beckmann | Statement: [Love, Rosie, musicBy, Michael Beckmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Beckmann Context triple: [Love, Rosie, musicBy, Michael Beckmann]
-
A.
Michael Menzel
Michael Menzel is a German board game illustrator and designer best known for creating the acclaimed cooperative game "Legends of Andor."
-
B.
Eric Pohlmann
Eric Pohlmann was an Austrian-born character actor best known for providing the original voice of the villain Ernst Stavro Blofeld in the early James Bond films.
-
C.
Ben Becker
Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
-
D.
Michael Begler
Michael Begler is an American television writer and producer best known for co-creating the period medical drama series "The Knick."
-
E.
Michael Hecht
Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
- 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: Michael Beckmann Triple: [Love, Rosie, musicBy, Michael Beckmann]
Generated description
Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Beckmann Target entity description: Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
-
A.
Michael Menzel
Michael Menzel is a German board game illustrator and designer best known for creating the acclaimed cooperative game "Legends of Andor."
-
B.
Eric Pohlmann
Eric Pohlmann was an Austrian-born character actor best known for providing the original voice of the villain Ernst Stavro Blofeld in the early James Bond films.
-
C.
Ben Becker
Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
-
D.
Michael Begler
Michael Begler is an American television writer and producer best known for co-creating the period medical drama series "The Knick."
-
E.
Michael Hecht
Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e373af06588190879cd11cce11c7bb |
completed | April 18, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:14 p.m.