Triple

T3760480
Position Surface form Disambiguated ID Type / Status
Subject Mean Girls (2004 film) E82147 entity
Predicate starredActor P5563 FINISHED
Object Lizzy Caplan E187119 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: Lizzy Caplan | Statement: [Mean Girls (2004 film), starredActor, Lizzy Caplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lizzy Caplan
Context triple: [Mean Girls (2004 film), starredActor, Lizzy Caplan]
  • A. Lizzy Caplan chosen
    Lizzy Caplan is an American actress known for her sharp, often comedic roles in film and television, including standout performances in projects like "Mean Girls," "Masters of Sex," and "Cloverfield."
  • B. Grace Gummer
    Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
  • C. Lindsay Applegate
    Lindsay Applegate was a 19th-century American pioneer and trailblazer known for helping establish emigrant routes to the Pacific Northwest.
  • D. Ariel Winter
    Ariel Winter is an American actress best known for playing Alex Dunphy on the hit television sitcom "Modern Family."
  • E. Margaret Qualley
    Margaret Qualley is an American actress known for her breakout role in HBO's "The Leftovers" and acclaimed performances in projects like "Maid" and "Once Upon a Time in Hollywood."
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc3d3f48190974cec104080949f completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f0321c4c8190ba372148c483c4ca completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:35 p.m.