Triple
T16082380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home for Christmas |
E390140
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Toni Cottura
Toni Cottura is a German music producer and songwriter best known for his work in Eurodance and pop, including collaborations with acts like Fun Factory and 'N Sync.
|
E1193181
|
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: Toni Cottura | Statement: [Home for Christmas, producer, Toni Cottura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Cottura Context triple: [Home for Christmas, producer, Toni Cottura]
-
A.
Helen Burger
Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
-
B.
Marion Cunningham
Marion Cunningham is the warm, sensible matriarch of the Cunningham family on the classic American sitcom "Happy Days."
-
C.
Janet Langhart
Janet Langhart is an American television journalist, author, and former model known for her work as a news correspondent and for her writings on race and civil rights.
-
D.
Carla Tortelli
Carla Tortelli is a sharp-tongued, tough, and fiercely loyal waitress on the classic American sitcom "Cheers."
-
E.
Anne Brochet
Anne Brochet is a French actress known for her acclaimed performances in film, television, and theater, including a César-winning role in "Tous les matins du monde."
- 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: Toni Cottura Triple: [Home for Christmas, producer, Toni Cottura]
Generated description
Toni Cottura is a German music producer and songwriter best known for his work in Eurodance and pop, including collaborations with acts like Fun Factory and 'N Sync.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toni Cottura Target entity description: Toni Cottura is a German music producer and songwriter best known for his work in Eurodance and pop, including collaborations with acts like Fun Factory and 'N Sync.
-
A.
Helen Burger
Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
-
B.
Marion Cunningham
Marion Cunningham is the warm, sensible matriarch of the Cunningham family on the classic American sitcom "Happy Days."
-
C.
Janet Langhart
Janet Langhart is an American television journalist, author, and former model known for her work as a news correspondent and for her writings on race and civil rights.
-
D.
Carla Tortelli
Carla Tortelli is a sharp-tongued, tough, and fiercely loyal waitress on the classic American sitcom "Cheers."
-
E.
Anne Brochet
Anne Brochet is a French actress known for her acclaimed performances in film, television, and theater, including a César-winning role in "Tous les matins du monde."
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844b86288190ad0452aad6bdd5fb |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48cf76c8190bc96168fc2326ffb |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe5f7c9008190ba6239bc35ac7ebd |
completed | May 10, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6a16b30819088a5d43c73715645 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:57 a.m.