Triple

T21876672
Position Surface form Disambiguated ID Type / Status
Subject What Matters Most E540160 entity
Predicate hasPart P35 FINISHED
Object “The Way We Were” 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: “The Way We Were” | Statement: [What Matters Most, hasPart, “The Way We Were”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “The Way We Were”
Context triple: [What Matters Most, hasPart, “The Way We Were”]
  • A. "The Way We Were"
    "The Way We Were" is a work by John F. Burnett, best known as a reflective account of his experiences and observations as an NPR journalist.
  • B. The Way We Were chosen
    "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.
  • C. 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.
  • D. Love Story
    Love Story is a 1944 British romantic drama film starring Margaret Lockwood and Stewart Granger, noted for its wartime setting and emotional love triangle.
  • E. Love Story
    Love Story is a 1970 romantic drama film best known for its tragic love tale and the famous line "Love means never having to say you're sorry."
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33a4e608190bd25bfa3fb5cac10 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:02 p.m.