Triple

T4853876
Position Surface form Disambiguated ID Type / Status
Subject Bobby Murphy E108486 entity
Predicate coFounded P104 FINISHED
Object Snapchat E52237 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: Snapchat | Statement: [Bobby Murphy, coFounded, Snapchat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snapchat
Context triple: [Bobby Murphy, coFounded, Snapchat]
  • A. Snapchat chosen
    Snapchat is a multimedia messaging and social media app known for its disappearing photos and videos, creative filters, and Stories feature popular among younger users.
  • B. Snapchat Lenses
    Snapchat Lenses are augmented reality filters that overlay interactive, animated effects onto users’ faces and surroundings in real time within the Snapchat ecosystem.
  • C. Snapchat Lens Explorer
    Snapchat Lens Explorer is a discovery interface within Snapchat that lets users browse, search, and try a wide variety of user-created augmented reality Lenses.
  • D. Snap Camera
    Snap Camera is a desktop application by Snap Inc. that lets users apply Snapchat-style augmented reality lenses and filters to their webcam video for use in video calls and streaming.
  • E. Snap
    Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3b00fc81909bdb95eb9648c907 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67da14d48190a994a11eb7a674b5 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:26 p.m.