Triple

T14540785
Position Surface form Disambiguated ID Type / Status
Subject How to Be a Human Being E341161 entity
Predicate hasSingle P3282 FINISHED
Object Life Itself E341152 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: Life Itself | Statement: [How to Be a Human Being, hasSingle, Life Itself]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Life Itself
Context triple: [How to Be a Human Being, hasSingle, Life Itself]
  • A. Life Itself chosen
    "Life Itself" is a psychedelic, genre-blending indie pop song by the English band Glass Animals, known for its vivid storytelling and inventive production.
  • B. Life Itself
    "Life Itself" is a song by Bruce Springsteen from his 2009 album *Working on a Dream*, blending reflective lyrics with his signature rock sound.
  • C. Life Itself
    Life Itself is a 2018 ensemble romantic drama film written and directed by Dan Fogelman that interweaves multiple generations and storylines to explore love, loss, and fate.
  • D. Life Itself (memoir)
    Life Itself is the acclaimed memoir of film critic Roger Ebert, chronicling his life, career, and reflections on cinema, illness, and mortality.
  • E. A Life on Film
    A Life on Film is the autobiography of classic Hollywood actress Mary Astor, recounting her long career and personal life in the film industry.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab414dc8190a233185068cfb8ff completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.