Triple
T6334942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Gives Way to Blue |
E142467
|
entity |
| Predicate | containsTribute |
P65470
|
FINISHED |
| Object | piano-driven title track dedicated to Layne Staley |
—
|
LITERAL 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: piano-driven title track dedicated to Layne Staley | Statement: [Black Gives Way to Blue, containsTribute, piano-driven title track dedicated to Layne Staley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsTribute Context triple: [Black Gives Way to Blue, containsTribute, piano-driven title track dedicated to Layne Staley]
-
A.
sharesTributeWith
Indicates that one entity gives or allocates part of its tribute or offering to another entity.
-
B.
reasonForTribute
Indicates the underlying cause, justification, or circumstance that explains why a tribute is given.
-
C.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
D.
hasPartInHisHonor
Indicates that something includes or contains a part, section, or component that is dedicated or named in honor of a particular person.
-
E.
includesCommemoration
chosen
Indicates that one entity contains, incorporates, or features a commemoration of another entity, event, or person.
- F. None of above.
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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06549084c8190b73fd94c9e0cb302 |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.