Triple

T11531389
Position Surface form Disambiguated ID Type / Status
Subject The War Within E273429 entity
Predicate hasPart P35 FINISHED
Object Stillness E733332 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: Stillness | Statement: [The War Within, hasPart, Stillness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stillness
Context triple: [The War Within, hasPart, Stillness]
  • A. Stillness
    "Stillness" is a literary work by Indian politician and author Varun Gandhi, reflecting his contemplative and introspective writing style.
  • B. Stillness chosen
    "Stillness" is a 1970 studio album by Sérgio Mendes & Brasil '66 that blends Brazilian bossa nova with contemporary pop and folk influences.
  • C. A Stillness
    "A Stillness" is a musical work by British composer Michael Price, known for his atmospheric and emotionally resonant contemporary classical style.
  • D. Stillness and Shadows
    Stillness and Shadows is a novel by American author John Gardner that explores complex moral and psychological themes through richly detailed character studies.
  • E. Silence
    "Silence" is a 2016 historical drama film directed by Martin Scorsese, in which Liam Neeson plays a Jesuit priest in 17th-century Japan grappling with faith, persecution, and apostasy.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839878948190b170e64629d6f2db completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6856341b481909d2ee71893e6117b completed April 20, 2026, 7:58 p.m.
Created at: April 8, 2026, 9:37 p.m.