Triple

T15045504
Position Surface form Disambiguated ID Type / Status
Subject Naughty Boy E379214 entity
Predicate associatedAct P37 FINISHED
Object Professor Green E490728 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: Professor Green | Statement: [Naughty Boy, associatedAct, Professor Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Professor Green
Context triple: [Naughty Boy, associatedAct, Professor Green]
  • A. Professor Green chosen
    Professor Green is a British rapper and songwriter known for his witty lyricism, chart-topping singles, and appearances on UK television.
  • B. Dr. Green
    Dr. Green is a minor supporting character in the 1997 romantic comedy-drama film "As Good as It Gets."
  • C. Dr. Greenthumb
    "Dr. Greenthumb" is a popular 1998 hip-hop song by Cypress Hill, known for its humorous, cannabis-themed lyrics and distinctive persona created by rapper B-Real.
  • D. Professor Fig
    Professor Fig is a wise and supportive Hogwarts professor in the video game "Hogwarts Legacy" who mentors the player character through their magical journey and the central mystery of the story.
  • E. Professor Echo
    Professor Echo is a criminal mastermind and master of disguise from the 1925 silent film "The Unholy Three," where he leads a trio of sideshow performers in a series of elaborate robberies.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de54380819084568664b63322d2 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.