Triple
T19320018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. President |
E483196
|
entity |
| Predicate | hasCounterpart |
P6587
|
FINISHED |
| Object | Mr. Speaker |
—
|
NE NERFINISHED |
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: [Mr. President, hasCounterpart, Mr. Speaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Speaker Context triple: [Mr. President, hasCounterpart, 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 (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d87a0088190a60201b1f388089e |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.