Triple

T3113849
Position Surface form Disambiguated ID Type / Status
Subject Lea Michele E65010 entity
Predicate appearedIn P795 FINISHED
Object Scream Queens E327803 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: Scream Queens | Statement: [Lea Michele, appearedIn, Scream Queens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scream Queens
Context triple: [Lea Michele, appearedIn, Scream Queens]
  • A. Scream Queens chosen
    Scream Queens is a satirical horror-comedy television series that blends slasher tropes with dark humor and a college sorority setting.
  • B. Wet Hot American Summer
    Wet Hot American Summer is a cult-classic satirical comedy film that parodies 1980s summer camp movies with an ensemble cast of comedians.
  • C. Unbreakable Kimmy Schmidt
    Unbreakable Kimmy Schmidt is an American comedy series created by Tina Fey and Robert Carlock that follows an optimistic woman rebuilding her life in New York City after escaping a doomsday cult.
  • D. GLOW
    GLOW is a comedy-drama television series on Netflix that follows the personal and professional lives of a group of women who perform in a 1980s professional wrestling promotion.
  • E. New Girl
    New Girl is an American sitcom that follows the quirky misadventures of Jess Day and her three male roommates in a Los Angeles loft.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43dca688190ab041554220c5271 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f606fc881908754a78e6aa2de64 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.