Triple
T23078652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Roaring Girl |
E575403
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Gallipot |
—
|
NE NERFINISHED |
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: Gallipot | Statement: [The Roaring Girl, featuresCharacter, Gallipot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gallipot Context triple: [The Roaring Girl, featuresCharacter, Gallipot]
-
A.
Potin
Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
-
B.
Flagon
Flagon is the NATO reporting name for the Soviet Sukhoi Su-15 supersonic interceptor aircraft developed during the Cold War.
-
C.
Auld Mug
The Auld Mug is the historic silver trophy awarded to the winner of the America’s Cup, the world’s oldest international sailing competition.
-
D.
Claret Jug
The Claret Jug is the iconic silver trophy awarded annually to the winner of golf’s Open Championship, symbolizing one of the sport’s oldest and most prestigious titles.
-
E.
Teapot
chosen
Teapot is a type of vessel, typically made of ceramic or metal, designed for brewing and serving tea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c6572d88190afab0dfa960a85dd |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.