Triple

T8262133
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the Knesset E193217 entity
Predicate hasStyle P1609 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 Knesset, hasStyle, Mr. Speaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Speaker
Context triple: [Speaker of the Knesset, hasStyle, 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. Madam Speaker
    "Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
  • D. Lord Speaker
    The Lord Speaker is the presiding officer and representative of the United Kingdom’s House of Lords, responsible for maintaining order and overseeing its proceedings.
  • E. In the House
    In the House is a 1990s American sitcom starring LL Cool J as a former football player who takes in a single mother and her children to help pay his bills.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7938723081909379cf78a4449b80 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3573cee48190b72bdcdc433db93e completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.