Triple

T6746734
Position Surface form Disambiguated ID Type / Status
Subject Samaritans E154236 entity
Predicate ethnicity P194 FINISHED
Object Samaritan E19183 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: Samaritan | Statement: [Samaritans, ethnicity, Samaritan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samaritan
Context triple: [Samaritans, ethnicity, Samaritan]
  • A. Samaritan
    "Samaritan" is a novel by Thomas Hoover, likely a thriller or suspense work characteristic of his style blending historical or technological intrigue with fast-paced storytelling.
  • B. Samaritan (as-Samiri)
    Samaritan (as-Samiri) is a Qur’anic figure known for leading the Israelites astray by fashioning the golden calf during Prophet Musa’s (Moses’) absence.
  • C. Samaritanism chosen
    Samaritanism is an ancient monotheistic religion closely related to Judaism, centered on the Samaritan community’s distinct interpretation of the Torah and its own priestly and ritual traditions.
  • D. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • E. Bad Samaritan
    Bad Samaritan is a 2018 American thriller film about a valet who discovers a woman being held captive in a wealthy customer's home, leading to a dangerous cat-and-mouse confrontation.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b8a0f0819086b802983e8ffcb6 completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b15ded88190a36fb86093ba5a3c completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.