Triple

T12717097
Position Surface form Disambiguated ID Type / Status
Subject Natasha Naginsky E303873 entity
Predicate associatedWith P37 FINISHED
Object Mr. Big unclear NED1 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: Mr. Big | Statement: [Natasha Naginsky, associatedWith, Mr. Big]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Big
Context triple: [Natasha Naginsky, associatedWith, Mr. Big]
  • A. Mr. Big
    Mr. Big is the primary villain and drug lord antagonist in the James Bond film and novel "Live and Let Die."
  • B. Mr. Big
    Mr. Big is the charismatic, commitment-phobic love interest of Carrie Bradshaw in the Sex and the City franchise.
  • C. Mr. Big Stuff
    "Mr. Big Stuff" is a popular hip-hop track by Heavy D & the Boyz known for its upbeat groove and charismatic, playful lyrics.
  • D. Loverboy
    "Loverboy" is a song by Mariah Carey, known for its upbeat, sample-driven production and role as the lead single from her 2001 soundtrack album "Glitter."
  • E. Mr. Mister
    Mr. Mister is a powerful, corrupt industrialist character in Marc Blitzstein’s 1937 musical "The Cradle Will Rock," symbolizing corporate greed and political manipulation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620bd6148190a2f50067a4c18c14 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c802e248190865a6561ad1bf0b6 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:23 p.m.