Triple
T19253862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole King |
E481463
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Writer |
—
|
NE NERFINISHED |
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: Writer | Statement: [Carole King, album, Writer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Writer Context triple: [Carole King, album, Writer]
-
A.
Writer
chosen
Writer is the word processing application in the Apache OpenOffice suite, used for creating and editing text documents.
-
B.
Skriver
Skriver is a Danish surname most notably associated with fashion model Josephine Skriver.
-
C.
Ghostwriter
Ghostwriter is an educational children's mystery television series that uses a ghostly character to help a group of kids solve word-based puzzles and crimes, promoting literacy and problem-solving skills.
-
D.
Ghostwriter
Ghostwriter is a critically acclaimed instrumental hip-hop album by producer RJD2, known for its cinematic sampling and genre-blending soundscapes.
-
E.
Mr. Writer
"Mr. Writer" is a 2001 rock song by Welsh band Stereophonics, known for its moody tone and lyrics criticizing the media and music journalists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3339648190a87d38ce42aff016 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.