Triple

T18703996
Position Surface form Disambiguated ID Type / Status
Subject Bad Samaritan E457323 entity
Predicate title P38 FINISHED
Object Bad Samaritan 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: Bad Samaritan | Statement: [Bad Samaritan, title, Bad Samaritan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Samaritan
Context triple: [Bad Samaritan, title, Bad Samaritan]
  • A. Bad Samaritan chosen
    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.
  • B. Good Samaritan
    The Good Samaritan is a biblical figure from one of Jesus’s parables who exemplifies compassion by aiding a wounded stranger whom others have ignored.
  • C. Have a Little Mercy
    "Have a Little Mercy" is a blues-rock song by the American rock band ZZ Top.
  • D. Cliffside
    Cliffside is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its proximity to the Scarborough Bluffs along Lake Ontario.
  • E. S.O.S
    "S.O.S" is a breakthrough pop-rock single by the Jonas Brothers that helped propel the band to mainstream popularity in the late 2000s.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671597ac819093dbb53553130f1e completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.