Triple
T8001937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milkshake |
E186269
|
entity |
| Predicate | hasEnduringPopCulturePresence |
P80267
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Milkshake, hasEnduringPopCulturePresence, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnduringPopCulturePresence Context triple: [Milkshake, hasEnduringPopCulturePresence, true]
-
A.
hasEnduringPopularityOn
Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
-
B.
hasCulturalReference
Indicates that one entity makes reference to, draws from, or is associated with the cultural content, symbols, or traditions represented by another entity.
-
C.
hasCulturalSignificance
Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
-
D.
hasEnduringInfluenceOn
Indicates that one entity exerts a lasting, long-term impact on another entity’s state, development, or behavior.
-
E.
hasCulturalImpact
Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf2918081909ee0afab11caed63 |
completed | March 31, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:18 p.m.