Triple
T9681675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shine On |
E234295
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Flesh and Blood |
E593599
|
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: Flesh and Blood | Statement: [Shine On, hasTrack, Flesh and Blood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flesh and Blood Context triple: [Shine On, hasTrack, Flesh and Blood]
-
A.
Flesh and Blood
chosen
"Flesh and Blood" is a 1980 studio album by the English rock band Roxy Music, known for its sophisticated pop sound and polished production.
-
B.
Flesh & Blood
Flesh & Blood is a hard rock studio album by the British band Whitesnake, known for its melodic hooks and classic arena-rock sound.
-
C.
Flesh+Blood
Flesh+Blood is a 1985 gritty medieval adventure film directed by Paul Verhoeven, known for its brutal realism and starring Rutger Hauer as the leader of a band of mercenaries.
-
D.
Bloods
Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
-
E.
Bloods
Bloods is a predominantly African-American street gang that originated in Los Angeles and is known for its rivalry with the Crips and its nationwide network of affiliated sets.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9fec1c8190b2626848cb2c1871 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a3d77c48190b7fcde4708ca3811 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:16 p.m.