Triple

T23059630
Position Surface form Disambiguated ID Type / Status
Subject We Live Again E574260 entity
Predicate title P38 FINISHED
Object We Live Again 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: We Live Again | Statement: [We Live Again, title, We Live Again]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: We Live Again
Context triple: [We Live Again, title, We Live Again]
  • A. We Live Again chosen
    We Live Again is a 1934 American drama film adaptation of Leo Tolstoy’s novel "Resurrection," starring Anna Sten and directed by Rouben Mamoulian.
  • B. We Live Again
    "We Live Again" is a song by the American rock band Dinosaur Jr., featured on their 1988 album "Bug."
  • C. Learning to Live Again
    "Learning to Live Again" is a country song best known for being recorded and popularized by Garth Brooks, reflecting on the emotional challenges of starting over after loss.
  • D. Back from the Dead
    Back from the Dead is a breakout drill mixtape by Chicago rapper Chief Keef that helped propel him to mainstream recognition in the early 2010s.
  • E. Resurrected
    Resurrected is a 1989 British war drama film that follows a soldier accused of desertion after the Falklands War, exploring themes of trauma, memory, and injustice.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899f359081909e89e19db3833a3d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.