Triple

T36841764
Position Surface form Disambiguated ID Type / Status
Subject Miami Miracle E910426 entity
Predicate secondLateralRecipient P200234 FINISHED
Object Kenyan Drake NE NERFINISHED

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: Kenyan Drake | Statement: [Miami Miracle, secondLateralRecipient, Kenyan Drake]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondLateralRecipient
Context triple: [Miami Miracle, secondLateralRecipient, Kenyan Drake]
  • A. secondParty
    Indicates that an entity participates in a relationship or transaction as the second party relative to a primary (first) party.
  • B. secondHolder
    Indicates that an entity is the second person or party to hold or possess a particular item, role, title, or position in a sequence.
  • C. secondedBy
    Indicates that an initial proposal, motion, or action by one entity is formally supported or endorsed by another entity as a second.
  • D. secondaryPosition
    Indicates that an entity holds an additional, non-primary role, location, or status alongside its main one.
  • E. side2
    Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
  • F. None of above. chosen

Provenance (4 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_69f76e7f65a881908651b702da592b6d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff7bc112088190851501fb2a16103d completed May 9, 2026, 6:24 p.m.
PD Predicate disambiguation batch_69ff7b45507c81909753866ad733601a completed May 9, 2026, 6:21 p.m.
PDg Predicate description generation batch_69ff7bbfa4b08190b11e84861706b349 completed May 9, 2026, 6:23 p.m.
Created at: May 3, 2026, 4:13 p.m.