Triple
T976246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ¡Dos! |
E21058
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Nightlife
Nightlife is a song by the American punk rock band Green Day from their album ¡Dos!.
|
E114212
|
NE FINISHED |
How this triple was built (4 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!, hasPart, Nightlife]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nightlife Context triple: [¡Dos!, hasPart, Nightlife]
-
A.
Entertainment District
The Entertainment District is a vibrant Toronto neighborhood known for its theaters, nightlife, restaurants, and major attractions like the CN Tower and sports venues.
-
B.
Harbor City at Night
Harbor City at Night is a nocturnal harbor scene painting by Dutch artist Jacob van Swanenburgh, notable for its dramatic lighting and atmospheric depiction of urban waterfront life.
-
C.
Drag City
Drag City is an independent American record label known for releasing influential indie, folk, and experimental music.
-
D.
Harlem Nights
Harlem Nights is a 1989 crime-comedy film set in 1930s Harlem, written, directed by, and starring Eddie Murphy alongside Richard Pryor and Redd Foxx.
-
E.
Carnival
Carnival is a vibrant annual festival, especially prominent in Afro-Caribbean cultures, featuring parades, music, dance, and elaborate costumes that celebrate cultural identity and community.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nightlife Triple: [¡Dos!, hasPart, Nightlife]
Generated description
Nightlife is a song by the American punk rock band Green Day from their album ¡Dos!.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nightlife Target entity description: Nightlife is a song by the American punk rock band Green Day from their album ¡Dos!.
-
A.
Entertainment District
The Entertainment District is a vibrant Toronto neighborhood known for its theaters, nightlife, restaurants, and major attractions like the CN Tower and sports venues.
-
B.
Harbor City at Night
Harbor City at Night is a nocturnal harbor scene painting by Dutch artist Jacob van Swanenburgh, notable for its dramatic lighting and atmospheric depiction of urban waterfront life.
-
C.
Drag City
Drag City is an independent American record label known for releasing influential indie, folk, and experimental music.
-
D.
Harlem Nights
Harlem Nights is a 1989 crime-comedy film set in 1930s Harlem, written, directed by, and starring Eddie Murphy alongside Richard Pryor and Redd Foxx.
-
E.
Carnival
Carnival is a vibrant annual festival, especially prominent in Afro-Caribbean cultures, featuring parades, music, dance, and elaborate costumes that celebrate cultural identity and community.
- F. None of above. chosen
Provenance (5 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac170e8a008190a40001224f8dae2a |
completed | March 7, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69ac1787a9ac81908f032cd893d3efe8 |
completed | March 7, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1807aa388190ad2910966c9d1b04 |
completed | March 7, 2026, 12:20 p.m. |
Created at: March 1, 2026, 7:40 p.m.