Triple
T20178785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ¡Dos! |
E492669
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Nightlife |
—
|
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: Nightlife | Statement: [¡Dos!, hasTrack, Nightlife]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nightlife Context triple: [¡Dos!, hasTrack, Nightlife]
-
A.
Nightlife
chosen
Nightlife is a song by the American punk rock band Green Day from their album ¡Dos!.
-
B.
Nightlife
Nightlife is a 1999 synth-pop album by the Pet Shop Boys that blends club-oriented dance tracks with introspective lyrics and lush electronic production.
-
C.
Nightlife
"Nightlife" is a 1943 painting by Archibald Motley that vibrantly depicts the energy and social life of Chicago’s Black nightlife scene.
-
D.
Nightlife
Nightlife is a social and cultural concept encompassing entertainment, dining, and leisure activities that take place during the evening and nighttime, often centered around bars, clubs, music venues, and late-night events.
-
E.
Nightclubbing
Nightclubbing is Grace Jones’s acclaimed 1981 album that blends reggae, new wave, and post-disco influences into a distinctive, avant-garde pop sound.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.