Triple

T25936718
Position Surface form Disambiguated ID Type / Status
Subject Joe Louis Clark (film character) E653580 entity
Predicate schoolLed P162906 FINISHED
Object Eastside High School (fictionalized) 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: Eastside High School (fictionalized) | Statement: [Joe Louis Clark (film character), schoolLed, Eastside High School (fictionalized)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: schoolLed
Context triple: [Joe Louis Clark (film character), schoolLed, Eastside High School (fictionalized)]
  • A. schoolBoard
    Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
  • B. schoolBoardSystem
    Indicates a governance or administrative relationship in which a school board oversees, manages, or makes decisions for a school system or district.
  • C. educationFacility
    Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
  • D. schoolSector
    Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
  • E. schoolRoll
    Indicates the official list or record of students enrolled in a particular school or class.
  • 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_69e7ab3fd2f881908837305e4ba98011 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f62e83045c8190a424a2e401a88e9e completed May 2, 2026, 5:04 p.m.
PD Predicate disambiguation batch_69f62c1379f08190836c3e02b0c892df completed May 2, 2026, 4:53 p.m.
PDg Predicate description generation batch_69f62d886828819080ec2f742b9449e3 completed May 2, 2026, 4:59 p.m.
Created at: April 22, 2026, 8:39 a.m.