Triple

T10703431
Position Surface form Disambiguated ID Type / Status
Subject David Stirling E252336 entity
Predicate honorificTitle P2097 FINISHED
Object DSO E84990 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: DSO | Statement: [David Stirling, honorificTitle, DSO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DSO
Context triple: [David Stirling, honorificTitle, DSO]
  • A. DSO
    DSO is the acronym for the Division of Specialized Operations, a unit typically responsible for handling complex or high-risk operational tasks within an organization.
  • B. DSO
    DSO is the commonly used abbreviation for the Detroit Symphony Orchestra, one of the major American orchestras based in Detroit, Michigan.
  • C. DSO
    DSO is the commonly used abbreviation for the Dallas Symphony Orchestra, a major American symphony orchestra based in Dallas, Texas.
  • D. DSO chosen
    DSO is a British military decoration awarded to officers for distinguished service in combat, typically in leadership roles.
  • E. DSI
    DSI is the Deutsches SOFIA Institut, a German research institute dedicated to supporting and conducting astronomical observations with the SOFIA airborne observatory.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddd28d481908abc5c1d4e5a9f3e completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998f5cda081909932daa3c98f8b46 completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:12 p.m.