Triple

T16716583
Position Surface form Disambiguated ID Type / Status
Subject Sydney Ellen Wade E406240 entity
Predicate appearsIn P795 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: [Sydney Ellen Wade, appearsIn, The American President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The American President
Context triple: [Sydney Ellen Wade, appearsIn, 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 head of state of Algeria.
  • D. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
  • E. Mr. President
    "Mr. President" is the formal style of address used for the head of state of the Russian Federation.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38656b66081909f2c2a8971c45aee completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a515ca7c8190a2d5894f4273f9c8 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:20 a.m.