Triple
T158933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madam Secretary |
E3237
|
entity |
| Predicate | contrastsWith |
P278
|
FINISHED |
| Object |
Mister Secretary
Mister Secretary is a gender-reversed counterpart concept to the political drama series "Madam Secretary," imagining a male lead in a similar high-level government role.
|
E19189
|
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: Mister Secretary | Statement: [Madam Secretary, contrastsWith, Mister Secretary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mister Secretary Context triple: [Madam Secretary, contrastsWith, Mister Secretary]
-
A.
Mr. Secretary
Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
-
B.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
-
C.
Mr. Secretary
"Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
-
D.
Mister Speaker
Mister Speaker is the traditional formal address used for a male Speaker presiding over the United States House of Representatives.
-
E.
Madam Ambassador
Madam Ambassador is a memoir by Eleni Kounalakis recounting her experiences as the U.S. ambassador to Hungary, blending diplomatic insights with personal stories of political and social life in Budapest.
- 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: Mister Secretary Triple: [Madam Secretary, contrastsWith, Mister Secretary]
Generated description
Mister Secretary is a gender-reversed counterpart concept to the political drama series "Madam Secretary," imagining a male lead in a similar high-level government role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mister Secretary Target entity description: Mister Secretary is a gender-reversed counterpart concept to the political drama series "Madam Secretary," imagining a male lead in a similar high-level government role.
-
A.
Mr. Secretary
Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
-
B.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
-
C.
Mr. Secretary
"Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
-
D.
Mister Speaker
Mister Speaker is the traditional formal address used for a male Speaker presiding over the United States House of Representatives.
-
E.
Madam Ambassador
Madam Ambassador is a memoir by Eleni Kounalakis recounting her experiences as the U.S. ambassador to Hungary, blending diplomatic insights with personal stories of political and social life in Budapest.
- F. None of above. chosen
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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2583169a0819081b658882e5bc452 |
completed | Feb. 28, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d0c797d08190b737cfac052ec3de |
completed | Feb. 28, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_69a2d12d78208190a8a027a3f791dc60 |
completed | Feb. 28, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2d19d525c81909201aefc7fbc1095 |
completed | Feb. 28, 2026, 11:29 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.