Triple

T5155655
Position Surface form Disambiguated ID Type / Status
Subject Robert Evans E116302 entity
Predicate notableWork P4 FINISHED
Object Love Story E457417 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: Love Story | Statement: [Robert Evans, notableWork, Love Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Story
Context triple: [Robert Evans, notableWork, Love Story]
  • A. Love Story
    "Love Story" is a song by Taylor Swift that became one of her signature hits, blending country and pop influences in a modern retelling of Romeo and Juliet.
  • B. Love Story chosen
    Love Story is a 1944 British romantic drama film starring Margaret Lockwood and Stewart Granger, noted for its wartime setting and emotional love triangle.
  • C. The Way We Were
    "The Way We Were" is a 1973 romantic drama film starring Barbra Streisand and Robert Redford, renowned for its bittersweet love story and iconic title song.
  • D. Falling into You
    Falling into You is a Grammy-winning 1996 pop album by Celine Dion that became one of her most commercially successful and critically acclaimed releases.
  • E. Young Love
    Young Love is an American electronic rock band known for its danceable, synth-driven sound and emotionally charged lyrics.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79019c6481909641f173c5b3769a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0123bc48190920f60fc29f64734 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.