Triple

T19962733
Position Surface form Disambiguated ID Type / Status
Subject The Falling Soldier E479854 entity
Predicate publisher P29 FINISHED
Object Life 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: Life | Statement: [The Falling Soldier, publisher, Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Life
Context triple: [The Falling Soldier, publisher, Life]
  • A. Life chosen
    Life was a pioneering American photojournalism magazine published by Time Inc., renowned for its powerful photography and coverage of major 20th-century events and culture.
  • B. Life
    Life is an American crime drama television series that follows a wrongly imprisoned detective who returns to the police force after being exonerated.
  • C. Life
    Life is a 1999 American comedy-drama film starring Eddie Murphy and Martin Lawrence as two men wrongfully sentenced to life in prison, whose decades-long friendship unfolds behind bars.
  • D. Life
    Life is a 2017 science fiction horror film about a team aboard the International Space Station who discover a rapidly evolving alien organism that threatens all life on Earth.
  • E. Life
    "Life" is a song featured on the album *Baby Tonight*.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af51b4c81909ba156a489cbc551 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.