Triple

T1325638
Position Surface form Disambiguated ID Type / Status
Subject Blackbeard's Castle E28320 entity
Predicate namedAfter P63 FINISHED
Object Blackbeard E152313 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: Blackbeard | Statement: [Blackbeard's Castle, namedAfter, Blackbeard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blackbeard
Context triple: [Blackbeard's Castle, namedAfter, Blackbeard]
  • A. Blackbeard chosen
    Blackbeard was a notorious early 18th-century English pirate, famed for his fearsome appearance and raids in the Caribbean and along the American colonial coast.
  • B. 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."
  • C. Black Larsen
    Black Larsen is a villainous outlaw character in Charlie Chaplin’s silent film "The Gold Rush."
  • D. Bartholomew Allerton
    Bartholomew Allerton was a child passenger on the Mayflower and the son of Plymouth Colony settler Isaac Allerton, making him part of the early English Pilgrim community in New England.
  • E. Jean Lafitte
    Jean Lafitte was a notorious early 19th-century French pirate and privateer in the Gulf of Mexico who became a folk-hero figure for aiding the United States during the War of 1812.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19fd2648190932a85eacb3e7ec4 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62764d88190b7d1fca10835f560 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:55 p.m.