Triple
T10737369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Rosie |
E253227
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Christian Rein
Christian Rein is a cinematographer best known for his work on the romantic comedy-drama film "Love, Rosie."
|
E883685
|
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: Christian Rein | Statement: [Love, Rosie, cinematographyBy, Christian Rein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Rein Context triple: [Love, Rosie, cinematographyBy, Christian Rein]
-
A.
Christian Brandauer
Christian Brandauer is the son of Austrian actor and director Klaus Maria Brandauer.
-
B.
Christian Rapp
Christian Rapp is a Dutch architect known for his role in the redevelopment and urban design of Amsterdam’s KNSM Island.
-
C.
Christian Natter
Christian Natter is an Austrian local politician who serves as the mayor of the municipality of Wolfurt in the state of Vorarlberg.
-
D.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
-
E.
Robert Reinick
Robert Reinick was a 19th-century German poet and painter associated with the Düsseldorf school, known for providing texts for musical works by composers such as Robert Schumann.
- 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: Christian Rein Triple: [Love, Rosie, cinematographyBy, Christian Rein]
Generated description
Christian Rein is a cinematographer best known for his work on the romantic comedy-drama film "Love, Rosie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Rein Target entity description: Christian Rein is a cinematographer best known for his work on the romantic comedy-drama film "Love, Rosie."
-
A.
Christian Brandauer
Christian Brandauer is the son of Austrian actor and director Klaus Maria Brandauer.
-
B.
Christian Rapp
Christian Rapp is a Dutch architect known for his role in the redevelopment and urban design of Amsterdam’s KNSM Island.
-
C.
Christian Natter
Christian Natter is an Austrian local politician who serves as the mayor of the municipality of Wolfurt in the state of Vorarlberg.
-
D.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
-
E.
Robert Reinick
Robert Reinick was a 19th-century German poet and painter associated with the Düsseldorf school, known for providing texts for musical works by composers such as Robert Schumann.
- 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_69de22dce1cc8190a3511d86e8bd6d3e |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.