Triple
T17155522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny |
E416334
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | The Pirate |
E1252893
|
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: The Pirate | Statement: [Danny, hasFriend, The Pirate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Pirate Context triple: [Danny, hasFriend, The Pirate]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
The Pirate
chosen
The Pirate is a character known for his rebellious, seafaring outlaw persona, often depicted as a roguish adventurer living by his own code.
-
E.
The Black Pirate
The Black Pirate is a 1926 silent swashbuckler film starring Douglas Fairbanks, renowned for its pioneering use of early two-color Technicolor and acrobatic action sequences.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40b402881908b8c01d7b957d0d2 |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148337a348190b8739eb3f553f1d9 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.