Triple
T12945067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | final chase of Moby Dick |
E309739
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Starbuck |
E62708
|
NE FINISHED |
How this triple was built (2 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: [final chase of Moby Dick, featuresCharacter, Starbuck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starbuck Context triple: [final chase of Moby Dick, featuresCharacter, Starbuck]
-
A.
Starbuck
chosen
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1b3694819098527dcea3cfed93 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbbf0fb08190aeb1697714942c2b |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.