Triple

T9281341
Position Surface form Disambiguated ID Type / Status
Subject Rachael Harris E223074 entity
Predicate name P16 FINISHED
Object Rachael Harris E223074 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: Rachael Harris | Statement: [Rachael Harris, name, Rachael Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachael Harris
Context triple: [Rachael Harris, name, Rachael Harris]
  • A. Rachael Harris chosen
    Rachael Harris is an American actress and comedian known for her sharp comedic roles in film and television, including appearances in projects like The Hangover and the series Lucifer.
  • B. Rachael Horovitz
    Rachael Horovitz is an American film and television producer known for her work on acclaimed projects such as the series "Patrick Melrose."
  • C. Caroline Heubel
    Caroline Heubel was the mother of Jenny von Westphalen, who later became the wife of philosopher and economist Karl Marx.
  • D. Eniko Parrish
    Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
  • E. Rebecca Cottrell
    Rebecca Cottrell is the wife of Stephen Cottrell, the Archbishop of York in the Church of England.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd081c2b048190aa6930de3bf2f87f completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b209a5b48190a7e6d983bcda5363 completed April 4, 2026, 6:39 a.m.
Created at: March 30, 2026, 7:34 p.m.