Triple
T20841268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth |
E513107
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Pirate King |
—
|
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: Pirate King | Statement: [Ruth, associatedWith, Pirate King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pirate King Context triple: [Ruth, associatedWith, Pirate King]
-
A.
The Pirate King
chosen
The Pirate King is a flamboyant, comically noble leader of a band of pirates in Gilbert and Sullivan’s comic opera "The Pirates of Penzance."
-
B.
The Pirate
The Pirate is an 1822 historical novel by Sir Walter Scott set in the Orkney and Shetland Islands, blending romance, adventure, and local folklore around the figure of a mysterious seafarer.
-
C.
The Pirate
The Pirate is a romantic musical comedy film best known for its vibrant Technicolor production and the iconic pairing of Judy Garland and Gene Kelly.
-
D.
The Pirate
"The Pirate" is the colorful nickname of Mike Leach, the innovative and outspoken American college football coach known for his prolific Air Raid offense and fascination with pirate lore.
-
E.
The Pirate
The Pirate is a character known for his rebellious, seafaring outlaw persona, often depicted as a roguish adventurer living by his own code.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34b17b88190b3290bd5100ad2ad |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.