Triple

T22071667
Position Surface form Disambiguated ID Type / Status
Subject Christiane Amanpour E545421 entity
Predicate spouse P13 FINISHED
Object James Rubin NE NERFINISHED

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: James Rubin | Statement: [Christiane Amanpour, spouse, James Rubin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Rubin
Context triple: [Christiane Amanpour, spouse, James Rubin]
  • A. James Rubin chosen
    James Rubin is an American diplomat and former U.S. Assistant Secretary of State for Public Affairs who served as a key spokesperson during the Clinton administration.
  • B. Ron Rubin
    Ron Rubin is a Canadian voice actor known for his work in animated television series and films.
  • C. Peter Edelman
    Peter Edelman is an American legal scholar and anti-poverty advocate known for his work on welfare policy and his resignation from the Clinton administration in protest of the 1996 welfare reform law.
  • D. Andrew Weisblum
    Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
  • E. John Wesley Rattner
    John Wesley Rattner is the young protagonist of Cormac McCarthy’s debut novel *The Orchard Keeper*, whose coming-of-age unfolds amid the isolated, morally ambiguous backwoods of rural Tennessee.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12888dcc08190b18d3d44d09ab943 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.