Triple
T6153253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Early Edition |
E137255
|
entity |
| Predicate | featuresRecurringElement |
P69479
|
FINISHED |
| Object | orange tabby cat delivering the newspaper |
—
|
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: orange tabby cat delivering the newspaper | Statement: [Early Edition, featuresRecurringElement, orange tabby cat delivering the newspaper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRecurringElement Context triple: [Early Edition, featuresRecurringElement, orange tabby cat delivering the newspaper]
-
A.
featuresReimaginedVersionOf
Indicates that something includes or presents a newly interpreted or updated version of another existing work or element.
-
B.
featuredElement
Indicates that one element is highlighted or given special prominence relative to others in a given context.
-
C.
featuresCross
Indicates that one feature or element intersects or passes across another in space or structure.
-
D.
featuresStar
Indicates that one entity prominently includes or showcases another entity as a main star or featured performer.
-
E.
featuresSegment
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cfe20408190b5ec9b987e1a4206 |
completed | March 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:16 p.m.