Triple

T9846128
Position Surface form Disambiguated ID Type / Status
Subject Chris Marker E239345 entity
Predicate directed P7373 FINISHED
Object Statues Also Die E824827 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: Statues Also Die | Statement: [Chris Marker, directed, Statues Also Die]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Statues Also Die
Context triple: [Chris Marker, directed, Statues Also Die]
  • A. Statues Also Die chosen
    Statues Also Die is a 1953 French essay film co-directed by Chris Marker that critically examines the effects of colonialism on African art and culture.
  • B. De statua
    De statua is a 15th-century theoretical treatise by Leon Battista Alberti that analyzes the principles of proportion, measurement, and representation in sculpture.
  • C. Art of Dying
    "Art of Dying" is a spiritually themed rock song by George Harrison, featured on his acclaimed 1970 solo album All Things Must Pass.
  • D. Masses for the Dead
    Masses for the Dead are Catholic liturgical celebrations offered for the repose of the souls of the deceased, with specific prayers, readings, and rites focused on mourning and intercession.
  • E. 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.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e42edd98819092d07139890d83e4 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:34 p.m.