Triple
T7310217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speaker of the National Assembly of Pakistan |
E168070
|
entity |
| Predicate | style |
P87
|
FINISHED |
| Object |
Madam Speaker
Madam Speaker is the formal honorific used to address a female presiding officer of the National Assembly of Pakistan.
|
E4551
|
NE FINISHED |
How this triple was built (4 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: Madam Speaker | Statement: [Speaker of the National Assembly of Pakistan, style, Madam Speaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madam Speaker Context triple: [Speaker of the National Assembly of Pakistan, style, Madam Speaker]
-
A.
Madam Speaker
"Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
-
B.
Madam President
Madam President is an honorific title used for a female head of state or government, notably associated with Indonesia’s former president Megawati Sukarnoputri.
-
C.
Madam President
Madam President is the formal style of address used for a woman serving as President of the Senate in Belgium.
-
D.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
-
E.
Madam President
Madam President is the formal style of address used for a female head of state serving as President of Romania.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Madam Speaker Triple: [Speaker of the National Assembly of Pakistan, style, Madam Speaker]
Generated description
Madam Speaker is the formal honorific used to address a female presiding officer of the National Assembly of Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madam Speaker Target entity description: Madam Speaker is the formal honorific used to address a female presiding officer of the National Assembly of Pakistan.
-
A.
Madam Speaker
chosen
"Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
-
B.
Madam President
Madam President is an honorific title used for a female head of state or government, notably associated with Indonesia’s former president Megawati Sukarnoputri.
-
C.
Madam President
Madam President is the formal style of address used for a woman serving as President of the Senate in Belgium.
-
D.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
-
E.
Madam President
Madam President is the formal style of address used for a female head of state serving as President of Romania.
- F. None of above.
Provenance (5 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebdbd6f481908e69e53dab452656 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e567df3c8190a1baaa7ef9c99d87 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e67a988881909b3d53ab8da43a8e |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e71dc39c8190951424cb543d58df |
completed | March 28, 2026, 2:35 p.m. |
Created at: March 27, 2026, 3:01 p.m.