Triple

T6129962
Position Surface form Disambiguated ID Type / Status
Subject Keith Teare E136689 entity
Predicate notableWork P4 FINISHED
Object TechCrunch E10979 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: TechCrunch | Statement: [Keith Teare, notableWork, TechCrunch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TechCrunch
Context triple: [Keith Teare, notableWork, TechCrunch]
  • A. TechCrunch chosen
    TechCrunch is a leading technology news website and media platform known for its coverage of startups, Silicon Valley, and the tech industry.
  • B. Consumer Electronics Show
    The Consumer Electronics Show (CES) is a major annual trade show in Las Vegas where technology companies debut and showcase new consumer electronics and innovations.
  • C. Google I/O
    Google I/O is Google’s annual developer conference focused on showcasing new technologies, software updates, and tools across its platforms and services.
  • D. IDG World Expo
    IDG World Expo is a trade show and conference organizer known for producing major technology events and exhibitions worldwide.
  • E. MWC
    MWC is the commonly used abbreviation for Mennonite World Conference, a global community and fellowship of Anabaptist-related churches.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4c8570819096dc87f0de2a9887 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1416a4dd481908f1336fbd02c7af8 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:15 p.m.