Triple
T8030877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Nicholls |
E186973
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | One Day |
E543108
|
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 Day | Statement: [David Nicholls, wrote, One Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Day Context triple: [David Nicholls, wrote, One Day]
-
A.
One Day
chosen
One Day is a romantic drama film, based on David Nicholls' novel, that follows the evolving relationship between two friends by revisiting them on the same date over many years.
-
B.
Perfect Day
Perfect Day is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
-
C.
Beautiful Day
"Beautiful Day" is a Grammy-winning rock anthem by Irish band U2, known for its uplifting lyrics and soaring, atmospheric sound.
-
D.
One Week
One Week is a 1920 silent short comedy film starring Buster Keaton, famous for its inventive physical gags about a newlywed couple attempting to assemble a do-it-yourself house.
-
E.
Day One
Day One is a popular digital journaling application known for its clean design, cross-platform syncing, and privacy-focused features.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eef921081908d0ea21f142c175a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c911c081909751b614966d986c |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:22 p.m.