Triple

T16810291
Position Surface form Disambiguated ID Type / Status
Subject Mega Powers E408589 entity
Predicate notableManager P896 FINISHED
Object Miss Elizabeth E1234435 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: Miss Elizabeth | Statement: [Mega Powers, notableManager, Miss Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Elizabeth
Context triple: [Mega Powers, notableManager, Miss Elizabeth]
  • A. Miss Elizabeth chosen
    Miss Elizabeth was a prominent professional wrestling valet and manager best known for her iconic role alongside "Macho Man" Randy Savage in the WWF during the 1980s and early 1990s.
  • B. Miss Jane
    Miss Jane is the former stage name of Ghanaian singer and songwriter Efya, known for her soulful Afrobeat and neo-soul music.
  • C. Miss Andrew
    Miss Andrew is a strict, authoritarian nanny character who appears as a foil to Mary Poppins in adaptations of the Mary Poppins stories.
  • D. Miss Stewart
    Miss Stewart was an educator significant enough in San Rafael, California, that a local school was named in her honor.
  • E. Lizzie
    Lizzie is the central sex worker protagonist in Jean-Paul Sartre’s play "The Respectful Prostitute," whose moral choices expose the hypocrisy and racism of the society around her.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cf680c8190bcd640570c524918 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0dce448190b20ca3d60d9fc475 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.