Triple
T16880801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YSIV |
E421409
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | One Day |
E1109528
|
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: [YSIV, hasPart, One Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Day Context triple: [YSIV, hasPart, One Day]
-
A.
One Day
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.
One Day
chosen
"One Day" is a socially conscious hip-hop track by Jeru the Damaja known for its sharp critique of the music industry and moral decay in society.
-
C.
Un Día (One Day)
"Un Día (One Day)" is a popular reggaeton track by Puerto Rican artist J Balvin, known for its smooth, romantic vibe and widespread Latin music appeal.
-
D.
The One Day
"The One Day" is a long, book-length poem by American poet Donald Hall that meditates on time, memory, and mortality through a single day in the speaker’s life.
-
E.
Perfect Day
Perfect Day is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7fa96588190837777c401880cb3 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b8fcf081908898f5589b2455ce |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.