Triple

T710601
Position Surface form Disambiguated ID Type / Status
Subject Plymouth Colony E14196 entity
Predicate leader P981 FINISHED
Object John Carver E5527 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: John Carver | Statement: [Plymouth Colony, leader, John Carver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Carver
Context triple: [Plymouth Colony, leader, John Carver]
  • A. John Carver chosen
    John Carver was a prominent early Pilgrim leader who became the first governor of Plymouth Colony after the Mayflower’s arrival in 1620.
  • B. John Howland
    John Howland was an English colonist and Mayflower passenger who became a prominent early settler and leader in Plymouth Colony.
  • C. Henry Lucas
    Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
  • D. Jack Driscoll
    Jack Driscoll is a central heroic character in the 1933 film "King Kong," serving as the ship's first mate and the primary human protagonist who helps rescue Ann Darrow from the giant ape.
  • E. Sam De Grasse
    Sam De Grasse was a Canadian-born silent film actor best known for his villainous roles in early Hollywood adventure and drama films.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55c99fc8190941c5fd18551792a completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d71a25c81908de9b9e59affb79f completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:36 p.m.