Triple
T12005153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exile on Main St. |
E285761
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Shine a Light |
E285734
|
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: Shine a Light | Statement: [Exile on Main St., hasPart, Shine a Light]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shine a Light Context triple: [Exile on Main St., hasPart, Shine a Light]
-
A.
Shine a Light
chosen
"Shine a Light" is a song by the Rolling Stones, known as a soulful, gospel-influenced track from their acclaimed 1972 album "Exile on Main St."
-
B.
Shine a Light
"Shine a Light" is a song by the English rock band Beady Eye, formed by former members of Oasis.
-
C.
Shine a Light
Shine a Light is a concert documentary film about The Rolling Stones, directed by Martin Scorsese and edited by David Tedeschi.
-
D.
Shine Your Light
"Shine Your Light" is a notable song by the band Blue Electric Light, recognized as one of their standout tracks.
-
E.
Let It Shine
Let It Shine is a British television music talent show that aimed to find performers for a stage musical featuring the songs of Take That.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c481a48190b311d6809808ef1b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f642801881909a94d67c99bfd110 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:46 p.m.