Triple
T2215431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Davis |
E48019
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Carl Davis |
E48019
|
NE FINISHED |
How this triple was built (2 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: Carl Davis | Statement: [Carl Davis, name, Carl Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Davis Context triple: [Carl Davis, name, Carl Davis]
-
A.
Carl Davis
chosen
Carl Davis was a British composer and conductor renowned for his film and television scores, particularly for period dramas and silent film restorations.
-
B.
Andy Davis
Andy Davis is the young boy and devoted toy owner whose imagination and attachment to his toys drive much of the emotional core of the Toy Story film series.
-
C.
Paul Lewis
Paul Lewis is a composer and musician known for his work on film scores, including the soundtrack for the cult classic "Harold and Maude."
-
D.
Keith Crouch
Keith Crouch is an American R&B songwriter and record producer best known for his work on Brandy’s early hits and other 1990s soul and gospel projects.
-
E.
John Chancellor
John Chancellor was a prominent American television journalist and news anchor best known for his long tenure as a leading figure in network evening news during the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbff11574819091d1b50d637ae767 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6afa4f4481908cd1559624805559 |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:46 p.m.