Triple
T14727806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy People/U Saved Me |
E345988
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Happy People |
E345980
|
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: Happy People | Statement: [Happy People/U Saved Me, hasPart, Happy People]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy People Context triple: [Happy People/U Saved Me, hasPart, Happy People]
-
A.
Happy People
chosen
"Happy People" is an upbeat R&B song by R. Kelly known for its feel-good, dance-oriented vibe and popularity at parties and celebrations.
-
B.
Shiny Happy People
"Shiny Happy People" is a 1991 upbeat pop-rock song by the American alternative rock band R.E.M., known for its bright, catchy melody and guest vocals by Kate Pierson of the B-52's.
-
C.
Happy Songs for Happy People
Happy Songs for Happy People is a 2003 post-rock studio album by Scottish band Mogwai, noted for its atmospheric, mostly instrumental soundscapes and experimental use of electronics.
-
D.
Happy Time
"Happy Time" is an album by Canadian pianist and composer Frank Mills, known for its light, melodic instrumental pop style.
-
E.
Happy Time
Happy Time is a Filipino television program that aired on the Net 25 network, offering light entertainment and variety segments for a general audience.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf099eaf48190b89032b6ac769e67 |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.