Triple

T14752021
Position Surface form Disambiguated ID Type / Status
Subject Sienna Rose Diana Miller E346632 entity
Predicate notableWork P4 FINISHED
Object 21 Bridges E346638 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: 21 Bridges | Statement: [Sienna Rose Diana Miller, notableWork, 21 Bridges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 21 Bridges
Context triple: [Sienna Rose Diana Miller, notableWork, 21 Bridges]
  • A. 21 Bridges chosen
    21 Bridges is a 2019 American crime thriller film starring Chadwick Boseman as an NYPD detective who shuts down all of Manhattan’s bridges to hunt a pair of cop killers.
  • B. The Bridge
    "The Bridge" is a musical track from the score of the animated film *Kung Fu Panda* (2008), composed by Hans Zimmer and John Powell.
  • C. The Bridge
    The Bridge is a film or television work featuring German actress Franka Potente, known for her intense and dynamic performances.
  • D. The Bridge
    "The Bridge" is a work associated with American actor Frank Theodore (Ted) Levine, best known for his chilling portrayal of serial killer Buffalo Bill in "The Silence of the Lambs."
  • E. The Bridge
    The Bridge is a creative work, likely a book or other narrative piece, recognized as a significant contribution by author Roxanne Lee.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9a56a08190b6a178cd930a072d completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.