Triple

T8569043
Position Surface form Disambiguated ID Type / Status
Subject Battle Born E202879 entity
Predicate hasPart P35 FINISHED
Object Be Still E632696 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: Be Still | Statement: [Battle Born, hasPart, Be Still]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Be Still
Context triple: [Battle Born, hasPart, Be Still]
  • A. Be Still chosen
    "Be Still" is a somber, piano-driven ballad by Linkin Park from their 2007 album *Minutes to Midnight*, known for its introspective lyrics and minimalist arrangement.
  • B. And Still
    "And Still" is a reflective, emotionally charged song by English musician Peter Gabriel, known for its atmospheric production and introspective lyrics.
  • C. Stillness
    "Stillness" is a 1970 studio album by Sérgio Mendes & Brasil '66 that blends Brazilian bossa nova with contemporary pop and folk influences.
  • D. Stillness
    "Stillness" is a literary work by Indian politician and author Varun Gandhi, reflecting his contemplative and introspective writing style.
  • E. Follow Me Quietly
    Follow Me Quietly is a 1949 film noir crime thriller about a relentless police hunt for a serial killer known as "The Judge."
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea3f28608190a07be8b324669a12 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce897a958c81909b611fac377e26ca completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:21 p.m.