Triple

T5507461
Position Surface form Disambiguated ID Type / Status
Subject Rio E144475 entity
Predicate mentor P3665 FINISHED
Object The Professor E114999 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: The Professor | Statement: [Rio, mentor, The Professor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Professor
Context triple: [Rio, mentor, The Professor]
  • A. The Professor chosen
    The Professor is the mastermind strategist and enigmatic leader who orchestrates the meticulously planned heists in the Spanish series "Money Heist."
  • B. Professor Bhaer
    Professor Bhaer is a kind, intellectually inclined German immigrant and love interest of Jo March in the 1994 film adaptation of Louisa May Alcott’s "Little Women."
  • C. Professor Unrat
    Professor Unrat is a satirical novel by Heinrich Mann that critiques bourgeois morality through the story of a repressed schoolteacher whose obsession with a cabaret singer leads to his downfall.
  • D. Mr. Science
    Mr. Science is a symbolic figure representing the ideals of modern scientific rationality and progress that Chinese intellectuals championed during the May Fourth Movement.
  • E. Professor Calamitous
    Professor Calamitous is a bumbling yet dangerously ambitious evil genius and recurring villain from the animated series "The Adventures of Jimmy Neutron: Boy Genius."
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f495c588190b0cfe5bfb3d2c221 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027bc39208190baa01feadb75d3c6 completed March 22, 2026, 5:32 p.m.
Created at: March 22, 2026, 3:32 p.m.