Triple
T38094299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tortuga |
E951201
|
entity |
| Predicate | associatedWithGroup |
P2830
|
FINISHED |
| Object |
Brethren of the Coast
The Brethren of the Coast were a loose confederation of pirates and privateers in the Caribbean during the 17th century, known for their semi-organized raids against Spanish shipping and settlements.
|
E2256986
|
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: Brethren of the Coast | Statement: [Tortuga, associatedWithGroup, Brethren of the Coast]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brethren of the Coast Triple: [Tortuga, associatedWithGroup, Brethren of the Coast]
Generated description
The Brethren of the Coast were a loose confederation of pirates and privateers in the Caribbean during the 17th century, known for their semi-organized raids against Spanish shipping and settlements.
Provenance (5 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc458abc7c819099a0d0a3f05c6285 |
completed | May 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41680c11748190b11a90beff8017f8 |
completed | June 28, 2026, 6:29 p.m. |
| NEDg | Description generation | batch_6a416bdd755c8190951cb9fa84a487a0 |
completed | June 28, 2026, 6:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a416cd609088190b91e9b633fe67918 |
completed | June 28, 2026, 6:49 p.m. |
Created at: May 3, 2026, 4:21 p.m.