Triple

T5757833
Position Surface form Disambiguated ID Type / Status
Subject Lucas Sinclair E127014 entity
Predicate residence P75 FINISHED
Object Hawkins, Indiana E112803 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: Hawkins, Indiana | Statement: [Lucas Sinclair, residence, Hawkins, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawkins, Indiana
Context triple: [Lucas Sinclair, residence, Hawkins, Indiana]
  • A. Hawkins, Indiana chosen
    Hawkins, Indiana is the fictional small Midwestern town where the supernatural events and government conspiracies of the Netflix series "Stranger Things" unfold.
  • B. Hanover, Indiana
    Hanover, Indiana is a small town in southeastern Indiana best known as the home of Hanover College, a private liberal arts institution overlooking the Ohio River.
  • C. Harlan, Indiana
    Harlan, Indiana is a small unincorporated community in northeastern Indiana located near the city of Fort Wayne.
  • D. Huntertown, Indiana
    Huntertown, Indiana is a small suburban town in northeastern Indiana, located just northwest of Fort Wayne.
  • E. Hagerstown, Indiana
    Hagerstown, Indiana is a small town in eastern Indiana known for its historic downtown and role as a local commercial and community center within Wayne County.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029363c988190b12f3f7b68295748 completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a16b9eac8190a3760557e2aebb45 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:49 p.m.