Triple
T17035823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donut County |
E413317
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mira
Mira is the teenage protagonist of the indie puzzle game Donut County, known for controlling a mysterious hole that swallows up the town.
|
E1245923
|
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: Mira | Statement: [Donut County, mainCharacter, Mira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mira Context triple: [Donut County, mainCharacter, Mira]
-
A.
Mira
Mira is a small town in northern Ecuador’s Carchi Province, known for its Andean setting and agricultural surroundings.
-
B.
Mira
Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
-
C.
Mira
Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
-
D.
Mira
Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
-
E.
Mira
Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
- 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: Mira Triple: [Donut County, mainCharacter, Mira]
Generated description
Mira is the teenage protagonist of the indie puzzle game Donut County, known for controlling a mysterious hole that swallows up the town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mira Target entity description: Mira is the teenage protagonist of the indie puzzle game Donut County, known for controlling a mysterious hole that swallows up the town.
-
A.
Mira
Mira is the central character in the story "Why Mira Can’t Go Back to Her Old House," around whom the plot’s emotional and narrative conflicts revolve.
-
B.
Mira
Mira is a small town in northern Ecuador’s Carchi Province, known for its Andean setting and agricultural surroundings.
-
C.
Mira
Mira is the courageous female warrior and key protagonist in the historical action film "The Last Legion."
-
D.
Mira
Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
-
E.
Mira
Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5b71f48190b6c865d57668b5d1 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c2203f0819091a5b4aa7c339585 |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011cc70cb08190b53b6a7402139f93 |
completed | May 11, 2026, 12:03 a.m. |
Created at: April 10, 2026, 5:33 a.m.