Triple

T1450270
Position Surface form Disambiguated ID Type / Status
Subject Albert Gore Sr. E31274 entity
Predicate familyName P18 FINISHED
Object Gore E148999 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: Gore | Statement: [Albert Gore Sr., familyName, Gore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gore
Context triple: [Albert Gore Sr., familyName, Gore]
  • A. Gore chosen
    Gore is a surname most prominently associated with Albert Gore Jr., better known as Al Gore, the former U.S. Vice President and environmental advocate.
  • B. Great Kills
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • C. Vicious
    Vicious is a British sitcom starring Derek Jacobi and Ian McKellen as a long-term gay couple navigating their acerbic yet affectionate relationship in London.
  • D. Agony
    Agony is a modernist painting by Armenian-American artist Arshile Gorky, reflecting his distinctive blend of abstraction and surrealism.
  • E. Revenge
    Revenge was an English galleon of the Elizabethan navy, famed for its heroic last stand against a vastly superior Spanish fleet in 1591 under Sir Richard Grenville.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55d923c8190957756f834f94462 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c4c940819091d15c4d2ffa6b1c completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.