Triple

T22409856
Position Surface form Disambiguated ID Type / Status
Subject Liam Hemsworth E553967 entity
Predicate educatedAt P5 FINISHED
Object Heathmont College 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: Heathmont College | Statement: [Liam Hemsworth, educatedAt, Heathmont College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heathmont College
Context triple: [Liam Hemsworth, educatedAt, Heathmont College]
  • A. Heathmont College chosen
    Heathmont College is an educational institution in Australia known in part for being attended by actor Chris Hemsworth.
  • B. McAuley Catholic College
    McAuley Catholic College is a Catholic secondary school located in Grafton, New South Wales, Australia.
  • C. Xavier Catholic College
    Xavier Catholic College is a Catholic co-educational school located in Eli Waters, Queensland, Australia, providing primary and secondary education.
  • D. Hennessy Catholic College
    Hennessy Catholic College is a Catholic secondary school located in Young, New South Wales, Australia, providing faith-based education to local students.
  • E. Thornleigh Salesian College
    Thornleigh Salesian College is a Catholic secondary school and sixth form in Bolton, England, known for educating filmmaker Danny Boyle among other notable alumni.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158bb9ef88190a773d82ac9ed7a55 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.