Triple
T5068772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightlife |
E114212
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | ¡Dos! |
E21058
|
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: ¡Dos! | Statement: [Nightlife, partOf, ¡Dos!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ¡Dos! Context triple: [Nightlife, partOf, ¡Dos!]
-
A.
¡Dos!
chosen
¡Dos! is the second album in Green Day’s ¡Uno! ¡Dos! ¡Tré! trilogy, showcasing a garage rock and power pop sound distinct from their earlier punk records.
-
B.
¡Dos! is second album
¡Dos! is the second studio album by American rock band Green Day, released as part of their ¡Uno! ¡Dos! ¡Tré! album trilogy.
-
C.
Duo
Duo is a Google-developed video calling application designed for simple, high-quality one-to-one and group conversations across mobile and web platforms.
-
D.
One Two
One Two is a small-time London criminal and the central protagonist in Guy Ritchie's crime film "RocknRolla."
-
E.
Two of a Kind
Two of a Kind is a 1983 romantic fantasy comedy film starring Olivia Newton-John and John Travolta, known for reuniting the Grease co-stars in a quirky, heaven-versus-earth storyline.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749dd1a08190858fa739df024eb4 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70c59678819097aed5af25f36b66 |
completed | March 22, 2026, 4:32 a.m. |
Created at: March 20, 2026, 1:39 p.m.