Triple

T7763193
Position Surface form Disambiguated ID Type / Status
Subject Joshua W. Sill E176075 entity
Predicate graduationRank P35205 FINISHED
Object third in his class LITERAL 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: third in his class | Statement: [Joshua W. Sill, graduationRank, third in his class]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: graduationRank
Context triple: [Joshua W. Sill, graduationRank, third in his class]
  • A. hasRankUponGraduation chosen
    Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
  • B. graduation
    Indicates that an entity has successfully completed an educational program and received a corresponding degree or qualification.
  • C. attendanceRank
    Indicates the relative position or level of an entity in terms of how frequently or consistently it attends compared to others.
  • D. rankGrade
    Indicates the grade or level assigned to an entity within a ranking or evaluation system.
  • E. gradeRank
    Indicates the relative academic standing or position of an entity within a graded or ranked group based on performance or scores.
  • F. None of above.

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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c705257ca08190a78c592a1e616da8 completed March 27, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69c7016df2b08190b2330a2010691431 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:09 p.m.