Triple

T14476249
Position Surface form Disambiguated ID Type / Status
Subject Felix Gumm E358980 entity
Predicate affiliation P10 FINISHED
Object OSS E16815 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: OSS | Statement: [Felix Gumm, affiliation, OSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OSS
Context triple: [Felix Gumm, affiliation, OSS]
  • A. OSS chosen
    OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
  • B. OSS
    OSS is the station code for Ossington station on Toronto's Line 2 Bloor–Danforth subway.
  • C. oss
    oss is the ISO 639-3 language code for the Ossetian (Iron) language spoken primarily in the Caucasus region.
  • D. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • E. OSS Society
    The OSS Society is a nonprofit organization dedicated to honoring the legacy and preserving the history of the World War II-era Office of Strategic Services and its role in U.S. intelligence and special operations.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91fc1fc48190842b09aa03ba79f8 completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d8ccd608190afd23c903cd5686a completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:20 a.m.