Triple

T15805301
Position Surface form Disambiguated ID Type / Status
Subject Tim Suhrstedt E383199 entity
Predicate notableWork P4 FINISHED
Object The Bronze E730878 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: The Bronze | Statement: [Tim Suhrstedt, notableWork, The Bronze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Bronze
Context triple: [Tim Suhrstedt, notableWork, The Bronze]
  • A. The Bronze chosen
    The Bronze is a dark comedy film starring Melissa Rauch as a foul-mouthed former gymnastics star struggling with faded fame and reluctant mentorship.
  • B. Titan of Bronze
    Titan of Bronze is the famous nickname of Cuban independence leader Antonio Maceo, renowned for his resilience and military prowess in the wars against Spanish colonial rule.
  • C. Copper Horse
    Copper Horse is a famous equestrian statue of King George III located at the end of the Long Walk in Windsor Great Park, England.
  • D. Man of Bronze
    Man of Bronze is the famous epithet of Doc Savage, a pulp adventure hero known for his superhuman abilities, scientific genius, and bronze-colored skin.
  • E. Iron and Golden King
    Iron and Golden King was the famous epithet of Ottokar II of Bohemia, a powerful 13th-century ruler known for his military might and vast wealth in Central Europe.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998d17648190b9f020632461965f completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.