Triple
T17348202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Head |
E421739
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Tight ’n Shiny” |
—
|
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: “Tight ’n Shiny” | Statement: [Head, hasPart, “Tight ’n Shiny”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Tight ’n Shiny” Context triple: [Head, hasPart, “Tight ’n Shiny”]
-
A.
Tight 'N Shiny
chosen
"Tight 'N Shiny" is a song by the industrial rock band Ministry from their 1996 album *Filth Pig*.
-
B.
Spit Shine
"Spit Shine" is a hip-hop track featured on the soundtrack of the film 8 Mile, associated with the movie’s gritty, battle-rap-driven atmosphere.
-
C.
Too Tight
"Too Tight" is a song by the Rolling Stones from their 1997 album "Bridges to Babylon," blending rock with contemporary production elements.
-
D.
Bling Bling
"Bling Bling" is a late-1990s Southern hip-hop track by B.G. that popularized the term "bling" in mainstream culture to describe flashy, ostentatious jewelry and wealth.
-
E.
"T.I.N.A."
"T.I.N.A." is a hit Afrobeats single by British-Ghanaian artist Fuse ODG that helped popularize his fusion of African rhythms with contemporary pop and dance music.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2a2ee48190976732e654a40053 |
completed | April 19, 2026, 2:12 a.m. |
Created at: April 10, 2026, 5:44 a.m.