Triple

T3630122
Position Surface form Disambiguated ID Type / Status
Subject Life Is Worth Losing E76933 entity
Predicate hasPart P35 FINISHED
Object Three Little Words E44519 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: Three Little Words | Statement: [Life Is Worth Losing, hasPart, Three Little Words]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Three Little Words
Context triple: [Life Is Worth Losing, hasPart, Three Little Words]
  • A. Three Little Words chosen
    Three Little Words is a 1950 MGM musical film starring Fred Astaire and Red Skelton that dramatizes the real-life songwriting partnership of Bert Kalmar and Harry Ruby.
  • B. Only These Words
    "Only These Words" is a song featured on the album *Higher Truth* by Chris Cornell.
  • C. No More Words
    "No More Words" is a memoir by Reeve Lindbergh reflecting on the final years and declining health of her mother, aviator and author Anne Morrow Lindbergh.
  • D. In Your Words
    "In Your Words" is a pop song by American singer Rebecca Black that showcases her more mature musical style following her viral debut with "Friday."
  • E. The Words
    The Words is Jean-Paul Sartre’s autobiographical work in which he reflects on his childhood and the development of his literary and philosophical identity.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc300223881909019982ebf194f78 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43328931881908bd92cb32a366e93 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.