Triple

T22993132
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Reiner E572108 entity
Predicate notableWork P4 FINISHED
Object Do No Harm 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: Do No Harm | Statement: [Jeffrey Reiner, notableWork, Do No Harm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Do No Harm
Context triple: [Jeffrey Reiner, notableWork, Do No Harm]
  • A. Do No Harm chosen
    Do No Harm is a medical drama television series that follows a brilliant neurosurgeon struggling to control his dangerous alternate personality.
  • B. Do No Harm
    Do No Harm is a work by Charlie Gogolak, likely a book or written piece exploring themes of ethics and responsibility.
  • C. First Do No Harm
    First Do No Harm is a 1997 American television drama film about a family's struggle to find effective treatment for their child's severe epilepsy, ultimately turning to the ketogenic diet.
  • D. Safe from Harm
    "Safe from Harm" is a 1990 trip-hop track by Massive Attack, known for its dark, atmospheric production and soulful vocals that helped define the group's early sound.
  • E. Thou Shall Not Kill
    "Thou Shall Not Kill" is a hardcore hip-hop track by the Queensbridge rap duo Mobb Deep, known for its dark, gritty production and street-centered lyricism.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f017a88190b02d0649a3af5d99 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:50 p.m.