Triple

T10837008
Position Surface form Disambiguated ID Type / Status
Subject Heaven Hart E255784 entity
Predicate hasSocialMediaPresence P57 FINISHED
Object Instagram 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 | Statement: [Heaven Hart, hasSocialMediaPresence, Instagram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Instagram
Context triple: [Heaven Hart, hasSocialMediaPresence, Instagram]
  • A. Instagram chosen
    Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
  • B. Instagram main feed
    Instagram main feed is the primary scrolling interface in the Instagram app where users view a curated stream of posts, including photos, videos, and Reels, from accounts they follow and recommended content.
  • C. 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.
  • D. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • E. Pinterest
    Pinterest is a visual discovery and bookmarking platform where users save and organize images and ideas into themed collections called boards.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.