Triple
T16676729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelve |
E405231
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Perfect Day |
E702672
|
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: Perfect Day | Statement: [Twelve, hasPart, Perfect Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perfect Day Context triple: [Twelve, hasPart, Perfect Day]
-
A.
Perfect Day
"Perfect Day" is a song by American rock band Collective Soul, known for its melodic alternative rock sound and introspective lyrics.
-
B.
Perfect Day
chosen
Perfect Day is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
-
C.
A Perfect Day
"A Perfect Day" is a well-known sentimental poem by American poet Ina Coolbrith, often remembered for its gentle, reflective celebration of nature and contentment.
-
D.
A Perfect Day
A Perfect Day is a 2015 drama-comedy film set during the Balkan conflict, following aid workers navigating the absurdities and moral dilemmas of war.
-
E.
The Best Day
"The Best Day" is a nostalgic country-pop song by Taylor Swift that reflects on her childhood memories and close relationship with her mother.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091927a408190a612a9ae2fd30d0a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.