Triple
T2624803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Secretary |
E59091
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Blake Moran
Blake Moran is a key fictional aide and policy advisor to the U.S. Secretary of State in the political drama television series "Madam Secretary."
|
E282953
|
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: Blake Moran | Statement: [Madame Secretary, character, Blake Moran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blake Moran Context triple: [Madame Secretary, character, Blake Moran]
-
A.
David Blunt
David Blunt is a British football executive best known for serving as chairman of Doncaster Rovers Football Club.
-
B.
Steve McMorran
Steve McMorran is a music producer and songwriter known for his work on James Blunt’s hit album "Back to Bedlam" and collaborations across pop and country genres.
-
C.
Sean Mortimer
Sean Mortimer is a music video director known for his work with the artist Juicy.
-
D.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
E.
Iain Farrington
Iain Farrington is a British pianist, organist, composer, and arranger known for his versatile work across classical and contemporary music, including high-profile national events.
- 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: Blake Moran Triple: [Madame Secretary, character, Blake Moran]
Generated description
Blake Moran is a key fictional aide and policy advisor to the U.S. Secretary of State in the political drama television series "Madam Secretary."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blake Moran Target entity description: Blake Moran is a key fictional aide and policy advisor to the U.S. Secretary of State in the political drama television series "Madam Secretary."
-
A.
David Blunt
David Blunt is a British football executive best known for serving as chairman of Doncaster Rovers Football Club.
-
B.
Steve McMorran
Steve McMorran is a music producer and songwriter known for his work on James Blunt’s hit album "Back to Bedlam" and collaborations across pop and country genres.
-
C.
Sean Mortimer
Sean Mortimer is a music video director known for his work with the artist Juicy.
-
D.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
E.
Iain Farrington
Iain Farrington is a British pianist, organist, composer, and arranger known for his versatile work across classical and contemporary music, including high-profile national events.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8b061a08190b7a8459851abaae2 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af909b7d9881908930a98d004998fb |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af913e20848190a25c90617df6ea6f |
completed | March 10, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af91e0ef408190b1ab9cb9f8bbdaca |
completed | March 10, 2026, 3:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.