Triple

T19872147
Position Surface form Disambiguated ID Type / Status
Subject Such Good Friends E477544 entity
Predicate starred P5563 FINISHED
Object Jennifer O'Neill NE NERFINISHED

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: Jennifer O'Neill | Statement: [Such Good Friends, starred, Jennifer O'Neill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer O'Neill
Context triple: [Such Good Friends, starred, Jennifer O'Neill]
  • A. Jennifer O’Neill chosen
    Jennifer O’Neill is an American actress and former model best known for her roles in films such as "Summer of ’42" and a variety of 1970s and 1980s movies and television productions.
  • B. Amy O'Neill
    Amy O'Neill is an American actress best known for her role as the teenage daughter Amy Szalinski in the 1989 family sci-fi film "Honey, I Shrunk the Kids."
  • C. Alison O’Brien
    Alison O’Brien is a film producer known for her work on the 2019 animated adaptation of The Addams Family.
  • D. Lisa O'Brien
    Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
  • E. Susan O’Neill
    Susan O’Neill was the wife of American film and stage actor Otto Kruger.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.