Triple

T17813388
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Stott E444771 entity
Predicate workedOn P3 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: [Jeffrey Stott, workedOn, The American President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The American President
Context triple: [Jeffrey Stott, workedOn, 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887d6828819085face29cb03671b completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313b5409081908ebe4d66d7c602a3 completed May 12, 2026, 11:49 a.m.
Created at: April 10, 2026, 10:14 a.m.