Triple
T15595011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole King |
E374868
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | One to One |
E374868
|
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: One to One | Statement: [Carole King, notableWork, One to One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One to One Context triple: [Carole King, notableWork, One to One]
-
A.
One to One
chosen
One to One is a studio album by Carole King released in 1982, showcasing her soft rock and pop songwriting in the early 1980s.
-
B.
One to One
One to One is a 1986 synth-pop album by British musician Howard Jones that marked a more mature, introspective phase in his songwriting and production.
-
C.
One to One (album)
One to One is a 1977 soul and R&B album by American singer-songwriter Syreeta Wright, showcasing her smooth vocals and collaborations with Stevie Wonder.
-
D.
Two in One
Two in One is a stylistically inventive, two-part film by Ukrainian director Kira Muratova that blends dark humor and meta-theatrical elements to explore human relationships and performance.
-
E.
One on One
One on One is a novel by American author Tabitha King, known for its exploration of complex personal relationships and small-town life.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c7db58819089cb488fb3ea96cd |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.