Triple

T10458708
Position Surface form Disambiguated ID Type / Status
Subject Jerami Grant E246612 entity
Predicate sibling P363 FINISHED
Object Jerai Grant E868748 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: Jerai Grant | Statement: [Jerami Grant, sibling, Jerai Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerai Grant
Context triple: [Jerami Grant, sibling, Jerai Grant]
  • A. Jerai Grant chosen
    Jerai Grant is an American professional basketball player known for his collegiate career at Clemson and for playing as a forward in various international leagues.
  • B. Jerian Grant
    Jerian Grant is an American professional basketball player known for his collegiate career at Notre Dame and subsequent play in the NBA and overseas.
  • C. Jamir Jones
    Jamir Jones is an American football linebacker who has played in the NFL, including for the Pittsburgh Steelers.
  • D. Jerami Grant
    Jerami Grant is an American professional basketball player in the NBA known for his versatile forward play, scoring ability, and strong defense.
  • E. Ziaire Williams
    Ziaire Williams is an American professional basketball player, known as a highly touted wing prospect who played college basketball at Stanford before being drafted into the NBA.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe4b6d408190af59104a44871578 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b047b588190a116f4fbd4cdbc35 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 12:18 p.m.