Triple
T19090271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kara Thrace |
E467263
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
Starbuck
Starbuck is the callsign of Kara Thrace, a hotshot Viper pilot and central character in the reimagined Battlestar Galactica television series.
|
E1357858
|
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: Starbuck | Statement: [Kara Thrace, callsign, Starbuck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starbuck Context triple: [Kara Thrace, callsign, Starbuck]
-
A.
Starbuck
Starbuck is the morally conscientious first mate of the whaling ship Pequod in Herman Melville’s novel "Moby-Dick," serving as a cautious and ethical counterpoint to Captain Ahab’s obsessive quest.
-
B.
Starbucks
Starbucks is a global coffeehouse chain and coffee roastery brand known for its specialty coffee drinks and widespread presence in cities around the world.
-
C.
McCafé
McCafé is McDonald's in-house coffeehouse-style chain offering specialty coffee drinks, pastries, and café-style food items.
-
D.
Dunkin'
Dunkin' is a major American coffee and baked goods chain best known for its donuts and wide variety of coffee beverages.
-
E.
Carousel Coffee
Carousel Coffee is a casual coffee shop located on Disney’s BoardWalk, serving specialty beverages and light refreshments to guests in the entertainment district.
- 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: Starbuck Triple: [Kara Thrace, callsign, Starbuck]
Generated description
Starbuck is the callsign of Kara Thrace, a hotshot Viper pilot and central character in the reimagined Battlestar Galactica television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Starbuck Target entity description: Starbuck is the callsign of Kara Thrace, a hotshot Viper pilot and central character in the reimagined Battlestar Galactica television series.
-
A.
Starbuck
Starbuck is the morally conscientious first mate of the whaling ship Pequod in Herman Melville’s novel "Moby-Dick," serving as a cautious and ethical counterpoint to Captain Ahab’s obsessive quest.
-
B.
Starbucks
Starbucks is a global coffeehouse chain and coffee roastery brand known for its specialty coffee drinks and widespread presence in cities around the world.
-
C.
McCafé
McCafé is McDonald's in-house coffeehouse-style chain offering specialty coffee drinks, pastries, and café-style food items.
-
D.
Dunkin'
Dunkin' is a major American coffee and baked goods chain best known for its donuts and wide variety of coffee beverages.
-
E.
Carousel Coffee
Carousel Coffee is a casual coffee shop located on Disney’s BoardWalk, serving specialty beverages and light refreshments to guests in the entertainment district.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34a589c8190b5171fab45bf2204 |
completed | April 20, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd9273cc81909dc0252b5959b050 |
completed | May 14, 2026, 2:34 p.m. |
| NEDg | Description generation | batch_6a05dfddc64c81909e630fd628f7b8e6 |
completed | May 14, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e09c58308190975c69c86482292a |
completed | May 14, 2026, 2:47 p.m. |
Created at: April 10, 2026, 12:04 p.m.