Triple

T8315658
Position Surface form Disambiguated ID Type / Status
Subject Henry Bowers E194699 entity
Predicate portrayedBy P1507 FINISHED
Object Nicholas Hamilton E228695 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: Nicholas Hamilton | Statement: [Henry Bowers, portrayedBy, Nicholas Hamilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Hamilton
Context triple: [Henry Bowers, portrayedBy, Nicholas Hamilton]
  • A. Nicholas Hamilton chosen
    Nicholas Hamilton is an Australian actor best known for his role as bully Henry Bowers in the horror film "It" (2017).
  • B. Neil Hamilton
    Neil Hamilton was an American actor best known for his roles in early Hollywood films and later as Commissioner Gordon in the 1960s "Batman" television series.
  • C. Neil Hamilton
    Neil Hamilton is a British politician and former Conservative MP who became widely known for his involvement in the 1990s "cash-for-questions" parliamentary lobbying scandal.
  • D. Douglas Hamilton
    Douglas Hamilton is a Scottish noble titleholder best known as the 8th Duke of Hamilton, a prominent aristocrat of the 18th century.
  • E. Nicholas Francis
    Nicholas Francis is a Danish software developer and entrepreneur best known as a co-founder of the game engine and technology company Unity Technologies.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f540b2081908ccb1b2ed040c74e completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6f629a0819081635763192903d8 completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:55 p.m.