Triple
T34364547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formula of Love: O+T=<3 |
E881970
|
entity |
| Predicate | containsEnglishSingle |
P202306
|
FINISHED |
| Object | The Feels |
—
|
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: The Feels | Statement: [Formula of Love: O+T=<3, containsEnglishSingle, The Feels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsEnglishSingle Context triple: [Formula of Love: O+T=<3, containsEnglishSingle, The Feels]
-
A.
hasEnglishComponent
Indicates that something includes or is associated with a component that is in the English language.
-
B.
isUnilingually
Indicates that an entity communicates or operates using only a single language in the specified context.
-
C.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
D.
hasEnglishInformation
Indicates that the subject possesses or is associated with information presented in the English language.
-
E.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00708ab11081909641d245c4282aa0 |
completed | May 10, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_6a00703daa0081908903ce3a28084d35 |
completed | May 10, 2026, 11:47 a.m. |
| PDg | Predicate description generation | batch_6a00708a01d08190a290fabcb435c358 |
completed | May 10, 2026, 11:48 a.m. |
Created at: May 1, 2026, 1:58 a.m.