Triple

T9789250
Position Surface form Disambiguated ID Type / Status
Subject The Wedding Date E237565 entity
Predicate castMember P1668 FINISHED
Object Sarah Parish E476404 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: Sarah Parish | Statement: [The Wedding Date, castMember, Sarah Parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Parish
Context triple: [The Wedding Date, castMember, Sarah Parish]
  • A. Sarah Parish chosen
    Sarah Parish is an English actress known for her extensive work in British television drama and comedy, including prominent roles in series such as "Cutting It," "Mistresses," and "Broadchurch."
  • B. Elizabeth Killian
    Elizabeth Killian is the namesake of an endowed economics professorship at the Massachusetts Institute of Technology.
  • C. Lanie Parish
    Lanie Parish is a sharp-witted medical examiner and close friend of Kate Beckett on the crime-comedy TV series "Castle."
  • D. Charlotte Shanks
    Charlotte Shanks is the wife of American actor Tom Skerritt.
  • E. Kim Gannon
    Kim Gannon was an American songwriter best known for penning the lyrics to several popular mid-20th-century songs, including the holiday standard "I'll Be Home for Christmas."
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.