Triple
T16705419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Million Dollar Quartet |
E405954
|
entity |
| Predicate | includesRepertoire |
P3738
|
FINISHED |
| Object | gospel standards |
—
|
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: gospel standards | Statement: [Million Dollar Quartet, includesRepertoire, gospel standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesRepertoire Context triple: [Million Dollar Quartet, includesRepertoire, gospel standards]
-
A.
repertoireIncludes
chosen
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
-
B.
includedInStandardRepertoire
Indicates that something is part of the commonly accepted or regularly used set within a particular standard repertoire.
-
C.
isEducationalRepertoire
Indicates that something constitutes a set of materials, activities, or practices used for educational or instructional purposes.
-
D.
includesInstruments
Indicates that one entity contains, involves, or makes use of one or more instruments as part of its composition or execution.
-
E.
notabilityInRepertoire
Indicates that a work holds particular significance or prominence within an entity’s repertoire.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383355f908190be467a12079b3d6f |
completed | April 18, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.