Triple
T19206554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost |
E480248
|
entity |
| Predicate | commandedBy |
P1407
|
FINISHED |
| Object | Wolf Larsen |
—
|
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: Wolf Larsen | Statement: [Ghost, commandedBy, Wolf Larsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolf Larsen Context triple: [Ghost, commandedBy, Wolf Larsen]
-
A.
Wolf Larsen
chosen
Wolf Larsen is the brutal, intellectually formidable sea captain who serves as the central antihero in Jack London’s novel "The Sea-Wolf."
-
B.
Black Larsen
Black Larsen is a villainous outlaw character in Charlie Chaplin’s silent film "The Gold Rush."
-
C.
Davis Tarwater
Davis Tarwater is an American former competitive swimmer and Olympic gold medalist known for his achievements in butterfly and freestyle events.
-
D.
Long John Silver
Long John Silver is a cunning, one-legged pirate and master manipulator who serves as the charismatic antihero in Robert Louis Stevenson’s classic adventure novel "Treasure Island."
-
E.
Colonel Jack
"Colonel Jack" is an early 18th-century novel by Daniel Defoe that follows the morally complex life and adventures of a London pickpocket who rises through crime, transportation, and eventual reform.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99d8ad0819098ebd4ee007149f1 |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:19 p.m.