Triple

T5043618
Position Surface form Disambiguated ID Type / Status
Subject Terror in a Texas Town E113605 entity
Predicate mainCharacter P1183 FINISHED
Object George Hansen E492422 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: George Hansen | Statement: [Terror in a Texas Town, mainCharacter, George Hansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Hansen
Context triple: [Terror in a Texas Town, mainCharacter, George Hansen]
  • A. George Hansen chosen
    George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
  • B. Hans Hansen
    Hans Hansen is a central character in Thomas Mann's novella "Tonio Kröger," representing the idealized, conventional bourgeois youth who contrasts with the artistic, introspective protagonist.
  • C. Ole Hanson
    Ole Hanson was an American real estate developer and former mayor of Seattle best known for envisioning and developing the master-planned coastal community of San Clemente, California.
  • D. Fred Borch
    Fred Borch was an American business executive best known for his leadership at General Electric and his influential role in U.S. corporate governance circles.
  • E. Paul Henning
    Paul Henning was an American television and film writer-producer best known for creating the classic sitcom "The Beverly Hillbillies" and shaping 1960s rural comedy on TV.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fc04f08190aba851fa0192d0fb completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfb4215c819086d0f4b412de9f2d completed March 21, 2026, 5:04 p.m.
Created at: March 20, 2026, 1:37 p.m.