Triple
T31533408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misses |
E804538
|
entity |
| Predicate | trackSelectionCriterion |
P26112
|
FINISHED |
| Object | artist favorites |
—
|
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: artist favorites | Statement: [Misses, trackSelectionCriterion, artist favorites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackSelectionCriterion Context triple: [Misses, trackSelectionCriterion, artist favorites]
-
A.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
B.
selectionMetric
chosen
Indicates the criterion or measure used to evaluate and choose among alternative options or candidates.
-
C.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
-
D.
valueCriterion
Indicates that something is evaluated or selected based on a specified standard, rule, or measure of value.
-
E.
entrySelectionMethod
Indicates the method or criteria used to select or admit an entity into a particular group, system, or context.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 30, 2026, 10:02 p.m.