Triple

T20744155
Position Surface form Disambiguated ID Type / Status
Subject Peter’s Friends E510525 entity
Predicate starring P1507 FINISHED
Object Alphonsia Emmanuel 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: Alphonsia Emmanuel | Statement: [Peter’s Friends, starring, Alphonsia Emmanuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alphonsia Emmanuel
Context triple: [Peter’s Friends, starring, Alphonsia Emmanuel]
  • A. Alphonsia Emmanuel chosen
    Alphonsia Emmanuel is a British actress known for her work in film, television, and theatre, including roles in productions such as "Peter’s Friends."
  • B. Soledad St. Hilaire
    Soledad St. Hilaire was an actress known for supporting roles in American films and television, including the teen drama film "Crazy/Beautiful."
  • C. Consuelo
    Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
  • D. Lucilla Crespin
    Lucilla Crespin is a fictional character featured in the 1923 silent drama film "The Green Goddess."
  • E. Marie Gomez
    Marie Gomez is an actress best known for her role in the 1966 Western film "The Professionals."
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.