Triple

T14993922
Position Surface form Disambiguated ID Type / Status
Subject @aoc E373906 entity
Predicate mediaFormat P131 FINISHED
Object Instagram Stories E5329 NE 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: Instagram Stories | Statement: [@aoc, mediaFormat, Instagram Stories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Instagram Stories
Context triple: [@aoc, mediaFormat, Instagram Stories]
  • A. YouTube Stories
    YouTube Stories was a short-form, ephemeral video format on YouTube that allowed creators to share temporary, mobile-first content similar to Instagram and Snapchat stories.
  • B. Instagram Reels
    Instagram Reels is a short-form video feature within Instagram that lets users create, edit, and share brief, often music-backed clips for discovery and entertainment.
  • C. Instagram chosen
    Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
  • D. LinkedIn Stories (later discontinued)
    LinkedIn Stories was a short-lived, Snapchat-inspired feature on LinkedIn that allowed users to share temporary, vertical, multimedia updates with their professional network.
  • E. Instagram Direct
    Instagram Direct is Instagram’s built-in private messaging feature that lets users send direct messages, photos, videos, and other content to individuals or groups.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded716ebb481908224d2d4f7561b03 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969a63f081908bf11783e2a51229 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.