Triple
T1682767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IGTV |
E36372
|
entity |
| Predicate | relationToReels |
P37
|
FINISHED |
| Object | separate from Instagram Reels |
—
|
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: separate from Instagram Reels | Statement: [IGTV, relationToReels, separate from Instagram Reels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToReels Context triple: [IGTV, relationToReels, separate from Instagram Reels]
-
A.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
B.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
-
C.
relationToCreation
Indicates the nature of a connection or involvement an entity has with the origin, production, or bringing-into-existence of something.
-
D.
titleRelation
Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
-
E.
relationshipToHumans
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
- F. None of above.
Provenance (3 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.