Triple

T3332464
Position Surface form Disambiguated ID Type / Status
Subject James Gray E70062 entity
Predicate wrote P2831 FINISHED
Object Ad Astra E172759 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: Ad Astra | Statement: [James Gray, wrote, Ad Astra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ad Astra
Context triple: [James Gray, wrote, Ad Astra]
  • A. Ad Astra
    Ad Astra is a symbolist painting by Finnish artist Akseli Gallen-Kallela, known for its mystical, celestial imagery and exploration of spiritual themes.
  • B. Ad Astra chosen
    Ad Astra is a 2019 science fiction film starring Brad Pitt as an astronaut on a psychological and physical journey through space to uncover the truth about his missing father.
  • C. Elysium
    Elysium is a 2013 science fiction film directed by Neill Blomkamp, set in a dystopian future where a wealthy elite live on a luxurious space habitat while the rest of humanity struggles on an overpopulated, ruined Earth.
  • D. Elysium
    Elysium is the blissful afterlife realm in ancient Greek belief where especially virtuous or heroic souls enjoyed eternal happiness.
  • E. Ad astra per aspera
    Ad astra per aspera is a Latin phrase meaning "to the stars through difficulties," commonly used to express perseverance in the face of hardship.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb19358e48190a503af01b92273a4 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33423dc288190b71eaa1c0feb26eb completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:12 p.m.