Triple

T8127360
Position Surface form Disambiguated ID Type / Status
Subject Mohammad Javad Zarif E189763 entity
Predicate co-recipientWith P736 FINISHED
Object John Kerry E45113 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 Kerry | Statement: [Mohammad Javad Zarif, co-recipientWith, John Kerry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Kerry
Context triple: [Mohammad Javad Zarif, co-recipientWith, John Kerry]
  • A. John Kerry chosen
    John Kerry is an American politician and diplomat, former U.S. senator from Massachusetts, 2004 Democratic presidential nominee, former Secretary of State, and a leading figure in U.S. foreign policy and climate diplomacy.
  • B. Albert Kerry
    Albert Kerry was a local Seattle businessman and civic leader after whom the scenic Kerry Park viewpoint on Queen Anne Hill is named.
  • C. Kerry
    Kerry is a county in the southwest of Ireland known for its rugged coastline, mountains, and popular tourist destinations like Killarney and the Ring of Kerry.
  • D. Kerry
    Kerry is a given name used for people of any gender in English-speaking countries.
  • E. Ted Kennedy
    Ted Kennedy was a Canadian Hall of Fame ice hockey centre best known as a longtime star and captain of the Toronto Maple Leafs in the NHL.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438ff4e08190a9af0f3e6401c9b2 completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbebd0d0481908eb6989d1822421a completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:34 p.m.