Triple

T5886573
Position Surface form Disambiguated ID Type / Status
Subject Martha Profumo E130878 entity
Predicate child P120 FINISHED
Object John Profumo E25586 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: John Profumo | Statement: [Martha Profumo, child, John Profumo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Profumo
Context triple: [Martha Profumo, child, John Profumo]
  • A. John Profumo chosen
    John Profumo was a British Conservative politician and war hero whose career ended in disgrace following the 1963 Profumo affair, a major political scandal involving a sexual relationship and national security concerns.
  • B. Giovanni Profumo
    Giovanni Profumo is an Italian banker and executive best known for serving as CEO of UniCredit, one of Europe’s largest banking groups.
  • C. Sir Malcolm Rifkind
    Sir Malcolm Rifkind is a British Conservative politician and barrister who served as Foreign Secretary and Defence Secretary in the 1990s.
  • D. Martha Profumo
    Martha Profumo was the mother of British politician John Profumo, who became widely known for the 1963 Profumo affair scandal.
  • E. Lord Pigot
    Lord Pigot was a British colonial administrator and military officer who served as Governor of Madras in the 18th century and played a notable role in early Anglo-Indian conflicts.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0367a61648190bf97746caa4061fe completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e37f8e348190a992609b71ce0f80 completed March 23, 2026, 6:53 a.m.
Created at: March 22, 2026, 3:57 p.m.