Triple

T13610371
Position Surface form Disambiguated ID Type / Status
Subject I Smile Back E325171 entity
Predicate starring P1507 FINISHED
Object Skylar Gaertner E928381 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: Skylar Gaertner | Statement: [I Smile Back, starring, Skylar Gaertner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skylar Gaertner
Context triple: [I Smile Back, starring, Skylar Gaertner]
  • A. Skylar Gaertner chosen
    Skylar Gaertner is an American actor best known for his role as Jonah Byrde in the Netflix crime drama series "Ozark."
  • B. Carley Knox
    Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
  • C. Quinn Morgendorffer
    Quinn Morgendorffer is Daria Morgendorffer’s fashion-obsessed, popularity-driven younger sister from the animated TV series "Daria."
  • D. Autumn Reeser
    Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
  • E. Skyler Gisondo
    Skyler Gisondo is an American actor known for his comedic and dramatic roles in film and television, including appearances in projects like Vacation, Santa Clarita Diet, and The Righteous Gemstones.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0aa9a1481908c6f92495aff86c6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f9a9f9c81909b0a8f4f51c461ae completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.