Triple
T11166203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mooo! |
E264165
|
entity |
| Predicate | featuresMeme |
P98205
|
FINISHED |
| Object | internet reaction images |
—
|
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: internet reaction images | Statement: [Mooo!, featuresMeme, internet reaction images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMeme Context triple: [Mooo!, featuresMeme, internet reaction images]
-
A.
featuresText
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
-
B.
featuresCameoBy
Indicates that a work includes a brief, often special-appearance role performed by the specified person or entity.
-
C.
featuresMood
Indicates that something includes, presents, or conveys a particular mood or emotional atmosphere.
-
D.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
E.
featuresReimaginedVersionOf
Indicates that something includes or presents a newly interpreted or updated version of another existing work or element.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e887293081909830852000d533fa |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.