Triple
T2624787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Secretary |
E59091
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
David Grae
David Grae is a television writer and producer best known for his work on political and legal drama series.
|
E282949
|
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: David Grae | Statement: [Madame Secretary, executiveProducer, David Grae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Grae Context triple: [Madame Secretary, executiveProducer, David Grae]
-
A.
David Gest
David Gest was an American television personality and music producer best known for his high-profile marriage to entertainer Liza Minnelli and his appearances on British reality TV.
-
B.
David Gyasi
David Gyasi is a British actor known for his roles in films like "Interstellar" and series such as "Troy: Fall of a City" and "Carnival Row."
-
C.
Chris Day
Chris Day is a British academic and medical researcher who serves as the Vice-Chancellor and President of Newcastle University.
-
D.
John Flaugher
John Flaugher is the birth name of Michael Reagan, the American political commentator and adopted son of former U.S. President Ronald Reagan and actress Jane Wyman.
-
E.
Josh Dylan
Josh Dylan is a British actor best known for his role as young Bill in the film "Mamma Mia! Here We Go Again."
- 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: David Grae Triple: [Madame Secretary, executiveProducer, David Grae]
Generated description
David Grae is a television writer and producer best known for his work on political and legal drama series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Grae Target entity description: David Grae is a television writer and producer best known for his work on political and legal drama series.
-
A.
David Gest
David Gest was an American television personality and music producer best known for his high-profile marriage to entertainer Liza Minnelli and his appearances on British reality TV.
-
B.
David Gyasi
David Gyasi is a British actor known for his roles in films like "Interstellar" and series such as "Troy: Fall of a City" and "Carnival Row."
-
C.
Chris Day
Chris Day is a British academic and medical researcher who serves as the Vice-Chancellor and President of Newcastle University.
-
D.
John Flaugher
John Flaugher is the birth name of Michael Reagan, the American political commentator and adopted son of former U.S. President Ronald Reagan and actress Jane Wyman.
-
E.
Josh Dylan
Josh Dylan is a British actor best known for his role as young Bill in the film "Mamma Mia! Here We Go Again."
- 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.