Triple
T13831702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nashville |
E332412
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Maisy Stella
Maisy Stella is a Canadian actress and singer best known for playing Daphne Conrad on the musical drama television series "Nashville."
|
E1064808
|
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: Maisy Stella | Statement: [Nashville, starring, Maisy Stella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maisy Stella Context triple: [Nashville, starring, Maisy Stella]
-
A.
Maisie Farange
Maisie Farange is the perceptive child protagonist of Henry James’s novel "What Maisie Knew," whose experiences reveal the emotional fallout of her parents’ bitter divorce.
-
B.
Millie
Millie is the nickname of Mildred "Millie" Schembechler, known primarily in connection with legendary University of Michigan football coach Bo Schembechler.
-
C.
Mia
Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
-
D.
Mia
Mia is a feminine given name used in many cultures, often as a short form of names like Maria or Amelia.
-
E.
Mia
"Mia" is a song by the American rock band Aerosmith from their 1979 album "Night in the Ruts."
- 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: Maisy Stella Triple: [Nashville, starring, Maisy Stella]
Generated description
Maisy Stella is a Canadian actress and singer best known for playing Daphne Conrad on the musical drama television series "Nashville."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maisy Stella Target entity description: Maisy Stella is a Canadian actress and singer best known for playing Daphne Conrad on the musical drama television series "Nashville."
-
A.
Maisie Farange
Maisie Farange is the perceptive child protagonist of Henry James’s novel "What Maisie Knew," whose experiences reveal the emotional fallout of her parents’ bitter divorce.
-
B.
Millie
Millie is the nickname of Mildred "Millie" Schembechler, known primarily in connection with legendary University of Michigan football coach Bo Schembechler.
-
C.
Mia
Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
-
D.
Mia
Mia is a feminine given name used in many cultures, often as a short form of names like Maria or Amelia.
-
E.
Mia
"Mia" is a song by the American rock band Aerosmith from their 1979 album "Night in the Ruts."
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8efe0948190aaf972cccc2ebc90 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d928ac81908867a99740d6c3a0 |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba6b2c208190b01e3a5ae872b14f |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:13 p.m.