Triple
T22483528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picasso Moon |
E555824
|
entity |
| Predicate | sharesArtistWith |
P127658
|
FINISHED |
| Object | Touch of Grey |
—
|
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: Touch of Grey | Statement: [Picasso Moon, sharesArtistWith, Touch of Grey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Touch of Grey Context triple: [Picasso Moon, sharesArtistWith, Touch of Grey]
-
A.
Touch of Grey
chosen
"Touch of Grey" is a popular Grateful Dead song, best known for its upbeat, resilient chorus ("I will get by") and for being the band's only Top 10 hit on the Billboard Hot 100.
-
B.
Fields of Gray
"Fields of Gray" is a reflective, piano-driven song by Bruce Hornsby that blends pop, rock, and jazz influences.
-
C.
Field Grey
Field Grey is a historical crime novel by Philip Kerr featuring Berlin detective Bernie Gunther as he navigates the moral ambiguities and political turmoil of mid-20th-century Europe.
-
D.
Shades of Gray
"Shades of Gray" is a song co-written by acclaimed American songwriter Cynthia Weil, known for her influential contributions to pop and rock music.
-
E.
The Grey Area
The Grey Area is a specialist sublabel of Mute Records known for reissuing and curating experimental, archival, and historically significant 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3b03d881909e286a124c1a2b1c |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.