Triple

T7893287
Position Surface form Disambiguated ID Type / Status
Subject Tom Preston-Werner E183287 entity
Predicate coFounded P104 FINISHED
Object Chatterbug E183283 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: Chatterbug | Statement: [Tom Preston-Werner, coFounded, Chatterbug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatterbug
Context triple: [Tom Preston-Werner, coFounded, Chatterbug]
  • A. Chatterbug chosen
    Chatterbug is an online language-learning platform that offers live tutoring and interactive exercises to help users practice and improve foreign language skills.
  • B. Clubhouse
    Clubhouse is a 2004 American drama film in which John Ortiz appears, centered on a troubled teen who finds an unlikely sense of belonging in a minor league baseball team’s clubhouse.
  • C. Flipgrid
    Flipgrid is an educational video discussion platform that allows teachers and students to create and share short video responses to prompts for interactive, classroom-style engagement.
  • D. chatr
    chatr is a Canadian prepaid wireless service brand offering low-cost mobile plans, primarily operated by Rogers Communications.
  • E. Amazon Chime
    Amazon Chime is a cloud-based communication service for online meetings, video conferencing, calls, and chat, designed for business collaboration.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a008fb88190a039fec40483ab93 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ba9c2ac8190b8faf1518390dff4 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5 p.m.