Triple
T22484013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine Daydream |
E555835
|
entity |
| Predicate | typicalPositionInSet |
P33773
|
FINISHED |
| Object | late in set |
—
|
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: late in set | Statement: [Sunshine Daydream, typicalPositionInSet, late in set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPositionInSet Context triple: [Sunshine Daydream, typicalPositionInSet, late in set]
-
A.
positionInSet
chosen
Indicates that an entity occupies a specific position or rank within an ordered set or collection.
-
B.
typicalPositionType
Indicates the usual or most common positional role or placement type that an entity generally occupies or is associated with.
-
C.
typicalPositionInSentence
Indicates the usual or most common position that an element occupies within the linear order of components in a sentence.
-
D.
typicalPositionsInclude
Indicates that certain positions or roles are commonly or characteristically included within something (such as an organization, structure, or context).
-
E.
typicalPositionBias
Indicates a systematic tendency for something to be placed, chosen, or interpreted in a commonly favored or default position relative to other options.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3b03d881909e286a124c1a2b1c |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.