Triple

T3316813
Position Surface form Disambiguated ID Type / Status
Subject Sienna Miller E69700 entity
Predicate notableWork P4 FINISHED
Object Live by Night E204625 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: Live by Night | Statement: [Sienna Miller, notableWork, Live by Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Live by Night
Context triple: [Sienna Miller, notableWork, Live by Night]
  • A. Live by Night chosen
    Live by Night is a 2016 American crime drama film, based on Dennis Lehane’s novel, that follows a Prohibition-era gangster’s rise in the world of organized crime.
  • B. All Night
    "All Night" is a funk-infused hip hop single by American rapper Big Boi, known for its upbeat production and catchy hook from his 2017 album "Boomiverse."
  • C. All Night
    "All Night" is a soulful, uplifting track by Beyoncé from her critically acclaimed visual album "Lemonade," noted for its themes of forgiveness and healing in a relationship.
  • D. Stay the Night
    "Stay the Night" is an R&B song by Mariah Carey from her 2005 album The Emancipation of Mimi, noted for its soulful vocals and contemporary production.
  • E. Stay the Night
    "Stay the Night" is a song by the American punk rock band Green Day from their album ¡Uno!.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb11230b881908f5b554323729cc5 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3fa347481909432bd0178e7ea57 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.