Triple

T17256711
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the National Assembly of Kuwait E418899 entity
Predicate style P87 FINISHED
Object Mr. Speaker E3628 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: Mr. Speaker | Statement: [Speaker of the National Assembly of Kuwait, style, Mr. Speaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Speaker
Context triple: [Speaker of the National Assembly of Kuwait, style, Mr. Speaker]
  • A. The Speaker
    The Speaker is an influential 18th-century anthology of prose and verse selections compiled by William Enfield to teach elocution, reading, and moral instruction.
  • B. Mister Speaker chosen
    Mister Speaker is the traditional formal address used for a male Speaker presiding over the United States House of Representatives.
  • C. Mr. Vice Speaker
    Mr. Vice Speaker is the formal style of address used for the Vice Speaker of the House of Representatives of Japan.
  • D. The Senator
    The Senator is a character from the video game "Black Water," likely serving as a prominent political figure within the game's narrative.
  • E. Madam Speaker
    "Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ceb9c8190a4eeaf10e90cd5a0 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ff6818819090077dc4a7b774ae completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.