Triple
T19952965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biograph (compilation album) |
E479603
|
entity |
| Predicate | includesDeepCuts |
P137977
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Biograph (compilation album), includesDeepCuts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesDeepCuts Context triple: [Biograph (compilation album), includesDeepCuts, yes]
-
A.
isDeepCutOn
Indicates that one entity is a relatively obscure, less well-known, or non-mainstream example or item within the context of another entity.
-
B.
includesFinal
Indicates that one entity contains or encompasses another entity as its concluding or last part.
-
C.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
D.
includesCrop
Indicates that one entity (such as a field, farm, or agricultural area) contains or has within it a specified crop.
-
E.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
- F. None of above. chosen
Provenance (4 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aee23488190bd92c1593fbc241c |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.