Triple

T6197846
Position Surface form Disambiguated ID Type / Status
Subject Annette Bening E138552 entity
Predicate starredIn P1668 FINISHED
Object The American President E90650 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: The American President | Statement: [Annette Bening, starredIn, The American President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The American President
Context triple: [Annette Bening, starredIn, The American President]
  • A. The American President chosen
    The American President is a 1995 romantic comedy-drama film directed by Rob Reiner that follows a widowed U.S. president who falls in love with a lobbyist while navigating the political pressures of the White House.
  • B. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
  • C. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
  • D. Mr. President
    "Mr. President" is the formal style of address used for the head of state of the Russian Federation.
  • E. Mr. President
    "Mr. President" is the formal style of address used for the head of state of Austria.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06251b47881909bd8d2ea37541959 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d96415c8190b0c5c7f9fd19f5be completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:20 p.m.