Triple

T13351049
Position Surface form Disambiguated ID Type / Status
Subject David Eggby E318068 entity
Predicate notableWork P4 FINISHED
Object Fortress E863846 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: Fortress | Statement: [David Eggby, notableWork, Fortress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortress
Context triple: [David Eggby, notableWork, Fortress]
  • A. Fortress chosen
    A fortress is a heavily fortified defensive structure, often with thick walls, towers, and battlements, built to protect people and strategic locations from attack.
  • B. The Fortress
    The Fortress is a South Korean historical drama film depicting the Joseon court’s struggle for survival during the Qing invasion, directed by Hwang Dong-hyuk.
  • C. The Fortress
    The Fortress is a popular nickname for MAPFRE Stadium, the historic soccer-specific home of the Columbus Crew in Major League Soccer.
  • D. Hero Fortress
    Hero Fortress is an honorary Soviet title bestowed on fortresses that displayed exceptional heroism and resilience during World War II.
  • E. Unternehmen Zitadelle
    Unternehmen Zitadelle was the German codename for the major 1943 offensive on the Eastern Front that led to the Battle of Kursk, one of the largest tank battles in history.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.