Triple

T5741364
Position Surface form Disambiguated ID Type / Status
Subject It's Complicated E126620 entity
Predicate featuresCharacter P626 FINISHED
Object Jane Adler E543074 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: Jane Adler | Statement: [It's Complicated, featuresCharacter, Jane Adler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Adler
Context triple: [It's Complicated, featuresCharacter, Jane Adler]
  • A. Jane Adler chosen
    Jane Adler is the middle-aged bakery owner and divorcée portrayed by Meryl Streep in the romantic comedy film "It's Complicated," who becomes entangled in a love triangle with her ex-husband and a new suitor.
  • B. Joanna Adler
    Joanna Adler is an American actress known for her work in film, television, and theater, including a role in the musical drama film "Tick, Tick... Boom!".
  • C. Adele Wolff
    Adele Wolff is a fictional, thrill-seeking sniper and adrenaline junkie from the action film "xXx: Return of Xander Cage."
  • D. Alice Dannenberg
    Alice Dannenberg was a Russian-born French painter and influential art teacher best known as a co-founder of the progressive Parisian art school Académie de la Grande Chaumière.
  • E. Ann Rosener
    Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097f655e881909f6944e9a9d27e6c completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.