Triple

T15990097
Position Surface form Disambiguated ID Type / Status
Subject Byron Deeter E387800 entity
Predicate investedIn P17330 FINISHED
Object Box E59983 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: Box | Statement: [Byron Deeter, investedIn, Box]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Box
Context triple: [Byron Deeter, investedIn, Box]
  • A. Box chosen
    Box is a cloud content management and file-sharing service for businesses, known for its collaboration tools and enterprise-focused security features.
  • B. Box
    Box is a village in Wiltshire, England, known for its historic quarrying industry and its location near the western portal of the Box Tunnel on the Great Western Main Line.
  • C. Posta
    Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
  • D. Mailbox
    Mailbox is a cheerful, talking mailbox character from the children's television series "Blue’s Clues" who delivers letters and helps advance the show's interactive clues and stories.
  • E. Mailbox
    Mailbox was a popular mobile email management app known for its innovative swipe-based interface and focus on inbox organization, later acquired by Dropbox.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157829ec08190aa4a683e29a0148a completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1cb1388190b1ebccc6705e5974 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.