Triple

T16634181
Position Surface form Disambiguated ID Type / Status
Subject Dina Meyer E404155 entity
Predicate playedCharacter P1507 FINISHED
Object Kerry E323547 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: Kerry | Statement: [Dina Meyer, playedCharacter, Kerry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerry
Context triple: [Dina Meyer, playedCharacter, Kerry]
  • A. Kerry chosen
    Kerry is a given name used for people of any gender in English-speaking countries.
  • B. 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.
  • C. John Kerry
    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.
  • D. Kerry Michael
    Kerry Michael is a British businessman best known for owning and redeveloping the Grand Pier in Weston-super-Mare.
  • E. 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.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e8a76c8190bf08e6f6dec63c50 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.