Triple
T2624793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Secretary |
E59091
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Patina Miller
Patina Miller is an American actress and singer known for her work on television, film, and Broadway, including a Tony-winning performance in the musical "Pippin."
|
E386562
|
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: Patina Miller | Statement: [Madame Secretary, starring, Patina Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patina Miller Context triple: [Madame Secretary, starring, Patina Miller]
-
A.
Lorraine Miller
Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
-
B.
Nina Smith
Nina Smith is known as one of the children of American rapper and actor LL Cool J.
-
C.
Nina Sutter
Nina Sutter is a notable individual who carries the Sutter surname, recognized as one of its distinguished bearers.
-
D.
Mina Miller
Mina Miller was an American socialite and philanthropist best known as the second wife of inventor Thomas Edison and for her extensive civic and charitable work.
-
E.
Julie Powell
Julie Powell was an American writer and blogger best known for her memoir "Julie & Julia," which chronicled her year-long project of cooking every recipe in Julia Child’s "Mastering the Art of French Cooking."
- 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: Patina Miller Triple: [Madame Secretary, starring, Patina Miller]
Generated description
Patina Miller is an American actress and singer known for her work on television, film, and Broadway, including a Tony-winning performance in the musical "Pippin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patina Miller Target entity description: Patina Miller is an American actress and singer known for her work on television, film, and Broadway, including a Tony-winning performance in the musical "Pippin."
-
A.
Lorraine Miller
Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
-
B.
Nina Smith
Nina Smith is known as one of the children of American rapper and actor LL Cool J.
-
C.
Nina Sutter
Nina Sutter is a notable individual who carries the Sutter surname, recognized as one of its distinguished bearers.
-
D.
Mina Miller
Mina Miller was an American socialite and philanthropist best known as the second wife of inventor Thomas Edison and for her extensive civic and charitable work.
-
E.
Julie Powell
Julie Powell was an American writer and blogger best known for her memoir "Julie & Julia," which chronicled her year-long project of cooking every recipe in Julia Child’s "Mastering the Art of French Cooking."
- 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_69b4e4c13494819095821f44916329c9 |
completed | March 14, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69b4e88d88248190a4061327296818c7 |
completed | March 14, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e8f38ba88190944236b2e8ae743e |
completed | March 14, 2026, 4:49 a.m. |
Created at: March 6, 2026, 9:50 p.m.