Triple
T13743286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illadelph Halflife |
E330144
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | One Shine |
E330144
|
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: One Shine | Statement: [Illadelph Halflife, hasPart, One Shine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Shine Context triple: [Illadelph Halflife, hasPart, One Shine]
-
A.
One Shine
chosen
One Shine is a track by hip-hop band The Roots featured on their acclaimed 1996 album Illadelph Halflife.
-
B.
All the Shine
"All the Shine" is a song by American rapper Camp, known for its introspective lyrics and atmospheric production.
-
C.
Something Shines
"Something Shines" is a solo studio album by French musician Laetitia Sadier, known for its atmospheric blend of avant-pop, indie, and politically tinged lyrics.
-
D.
When He Shines
"When He Shines" is a pop ballad recorded by Sheena Easton, featured on her debut album "Take My Time" and known for its emotive vocals and romantic theme.
-
E.
Always Shine
Always Shine is a 2016 psychological thriller film about two actresses whose friendship unravels during a tense trip to Big Sur.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020855ec8190a60fa1cb761f2e68 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8501890819081152bc2e9c06836 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 9:55 p.m.