Triple
T30343251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blend S |
E771809
|
entity |
| Predicate | hasNotableMeme |
P201928
|
FINISHED |
| Object | Smile, Sweet, Sister, Sadistic, Surprise, Service |
—
|
NE NERFINISHED |
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: Smile, Sweet, Sister, Sadistic, Surprise, Service | Statement: [Blend S, hasNotableMeme, Smile, Sweet, Sister, Sadistic, Surprise, Service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableMeme Context triple: [Blend S, hasNotableMeme, Smile, Sweet, Sister, Sadistic, Surprise, Service]
-
A.
hasNotableSatire
Indicates that one entity is recognized for containing or exemplifying a significant satirical treatment of the other entity.
-
B.
hasNotableReference
Indicates that one entity makes a significant or noteworthy mention of, or allusion to, another entity.
-
C.
hasNotableSubject
Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
-
D.
hasNotableHead
Indicates that an entity is associated with a particularly prominent or distinguished leader or chief figure.
-
E.
hasNotablePhrase
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00332eaa0c8190a69ea895576bb0ee |
completed | May 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_6a0032b2ea80819083b89ebb88165933 |
completed | May 10, 2026, 7:24 a.m. |
| PDg | Predicate description generation | batch_6a00332d97b88190bafe39ac6f1904ba |
completed | May 10, 2026, 7:26 a.m. |
Created at: April 29, 2026, 7:55 p.m.