Triple

T14134041
Position Surface form Disambiguated ID Type / Status
Subject Len Deighton E350242 entity
Predicate wrote P2831 FINISHED
Object SS-GB E1082699 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: SS-GB | Statement: [Len Deighton, wrote, SS-GB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SS-GB
Context triple: [Len Deighton, wrote, SS-GB]
  • A. SS-GB chosen
    SS-GB is an alternate history crime novel by Len Deighton that imagines Nazi-occupied Britain during World War II.
  • B. SSB
    SSB is the standard abbreviation for the Solar System barycenter, the common center of mass around which all bodies in the Solar System, including the Sun, orbit.
  • C. SSB
    SSB is the national statistical institute of Norway responsible for collecting, analyzing, and publishing official statistics about Norwegian society and the economy.
  • D. SSB
    SSB is one of India's Central Armed Police Forces responsible primarily for guarding the country's borders with Nepal and Bhutan and maintaining internal security.
  • E. SSB
    SSB is the Turkish Presidency of Defense Industries, the government body responsible for managing and developing Turkey’s defense industry and procurement programs.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e485fc8190aad0cce445aaec1a completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 11:45 p.m.