Triple
T11049820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come to Daddy |
E261215
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Karl Steven
Karl Steven is a New Zealand composer and musician known for his atmospheric film and television scores and work in alternative rock bands.
|
E903496
|
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: Karl Steven | Statement: [Come to Daddy, musicBy, Karl Steven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Steven Context triple: [Come to Daddy, musicBy, Karl Steven]
-
A.
Karl Arnold
Karl Arnold was a prominent German politician who served as Minister President of North Rhine-Westphalia and played a key role in post-World War II reconstruction and democratic development.
-
B.
Steven Kemper
Steven Kemper is a film editor known for his work on action and genre movies, including the 2010 supernatural action film "Legion."
-
C.
Karl VanDevender
Karl VanDevender is an American physician best known as the husband of acclaimed novelist Ann Patchett.
-
D.
Karl Howman
Karl Howman is a British actor best known for his television work in series such as "Brush Strokes" and "Mulberry."
-
E.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
- 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: Karl Steven Triple: [Come to Daddy, musicBy, Karl Steven]
Generated description
Karl Steven is a New Zealand composer and musician known for his atmospheric film and television scores and work in alternative rock bands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karl Steven Target entity description: Karl Steven is a New Zealand composer and musician known for his atmospheric film and television scores and work in alternative rock bands.
-
A.
Karl Arnold
Karl Arnold was a prominent German politician who served as Minister President of North Rhine-Westphalia and played a key role in post-World War II reconstruction and democratic development.
-
B.
Steven Kemper
Steven Kemper is a film editor known for his work on action and genre movies, including the 2010 supernatural action film "Legion."
-
C.
Karl VanDevender
Karl VanDevender is an American physician best known as the husband of acclaimed novelist Ann Patchett.
-
D.
Karl Howman
Karl Howman is a British actor best known for his television work in series such as "Brush Strokes" and "Mulberry."
-
E.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c851d5408190b12250a2a1322874 |
completed | April 18, 2026, 6:07 p.m. |
| NEDg | Description generation | batch_69e3da8fbd388190898f4f52613543d3 |
completed | April 18, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3dbbc784c8190a286bd5eb11bc44e |
completed | April 18, 2026, 7:30 p.m. |
Created at: April 8, 2026, 9:26 p.m.