Triple
T9110884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strong Medicine |
E218597
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Aspen Miller
Aspen Miller is a creator best known for developing the television drama series "Strong Medicine."
|
E779019
|
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: Aspen Miller | Statement: [Strong Medicine, creator, Aspen Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aspen Miller Context triple: [Strong Medicine, creator, Aspen Miller]
-
A.
Ashton Moss
Ashton Moss is an area in Greater Manchester, England, known for its retail and leisure park and served by the Manchester Metrolink network.
-
B.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
C.
Flynn Carsen
Flynn Carsen is the brilliant, eccentric scholar-adventurer who serves as the original Librarian in the fantasy franchise "The Librarian" and its spin-off series "The Librarians."
-
D.
Summer Mann
Summer Mann is the wife of acclaimed American filmmaker Michael Mann.
-
E.
Parker Laramie
Parker Laramie is an editor known for working on the film "Jockey."
- 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: Aspen Miller Triple: [Strong Medicine, creator, Aspen Miller]
Generated description
Aspen Miller is a creator best known for developing the television drama series "Strong Medicine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aspen Miller Target entity description: Aspen Miller is a creator best known for developing the television drama series "Strong Medicine."
-
A.
Ashton Moss
Ashton Moss is an area in Greater Manchester, England, known for its retail and leisure park and served by the Manchester Metrolink network.
-
B.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
C.
Flynn Carsen
Flynn Carsen is the brilliant, eccentric scholar-adventurer who serves as the original Librarian in the fantasy franchise "The Librarian" and its spin-off series "The Librarians."
-
D.
Summer Mann
Summer Mann is the wife of acclaimed American filmmaker Michael Mann.
-
E.
Parker Laramie
Parker Laramie is an editor known for working on the film "Jockey."
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca847102881908f9d86ce9883fb1a |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030467b188190a6d99bf2fc65207d |
completed | April 3, 2026, 9:25 p.m. |
| NEDg | Description generation | batch_69d0316f47c88190920843b469d15069 |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d032778adc8190a087497507a6e1ca |
completed | April 3, 2026, 9:34 p.m. |
Created at: March 30, 2026, 7:16 p.m.