Triple

T5233954
Position Surface form Disambiguated ID Type / Status
Subject Jessica Szohr E118174 entity
Predicate hasWorkedWith P9615 FINISHED
Object Leighton Meester E378238 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: Leighton Meester | Statement: [Jessica Szohr, hasWorkedWith, Leighton Meester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leighton Meester
Context triple: [Jessica Szohr, hasWorkedWith, Leighton Meester]
  • A. Leighton Meester chosen
    Leighton Meester is an American actress, singer, and model best known for her role as Blair Waldorf on the television series "Gossip Girl."
  • B. Ariel Winter
    Ariel Winter is an American actress best known for playing Alex Dunphy on the hit television sitcom "Modern Family."
  • C. Deborah Anne Mazar
    Deborah Anne Mazar is an American actress known for her sharp-tongued, tough-girl roles in film and television, including notable appearances in "Goodfellas," "Entourage," and "Younger."
  • D. Amber Riley
    Amber Riley is an American actress and singer best known for her role as Mercedes Jones on the television series "Glee."
  • E. Sydney Sweeney
    Sydney Sweeney is an American actress known for her breakout role as Cassie Howard in the HBO drama series "Euphoria" and for her work in both television and film.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b04c03481908d901788ce2c4128 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef818f31c8190a26950dcd9d6a895 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.