Triple

T9582260
Position Surface form Disambiguated ID Type / Status
Subject Sarah Paulson E231200 entity
Predicate characterPortrayed P1507 FINISHED
Object Lana Winters E637144 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: Lana Winters | Statement: [Sarah Paulson, characterPortrayed, Lana Winters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lana Winters
Context triple: [Sarah Paulson, characterPortrayed, Lana Winters]
  • A. Lana Winters chosen
    Lana Winters is a determined investigative journalist and one of the central protagonists in American Horror Story: Asylum, known for surviving and exposing the horrors of Briarcliff Manor.
  • B. Alexandra Wolfe
    Alexandra Wolfe is an American journalist and author, known for her work at The Wall Street Journal and for being the daughter of celebrated writer Tom Wolfe.
  • C. Lydia Winters
    Lydia Winters is a prominent executive and public figure at Mojang Studios, best known for her role in shaping and representing the Minecraft brand.
  • D. Vivian Warren
    Vivian Warren is the intelligent, ambitious heroine of George Bernard Shaw’s play "Mrs. Warren’s Profession," who struggles to reconcile her moral ideals with the revelation of her mother’s past.
  • E. Lana
    Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cd59008190888eb11f00f61994 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1616a11688190ba47343e4fd913fd completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.