Triple

T5071350
Position Surface form Disambiguated ID Type / Status
Subject Laurie E114285 entity
Predicate friendOf P8712 FINISHED
Object John Brooke E442728 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 Brooke | Statement: [Laurie, friendOf, John Brooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Brooke
Context triple: [Laurie, friendOf, John Brooke]
  • A. John Brooke chosen
    John Brooke is a fictional character from Louisa May Alcott's classic novel "Little Women," known as the earnest tutor who becomes Meg March's husband.
  • B. John R. Brooke
    John R. Brooke was a United States Army general who served as the first American military governor of Cuba following the Spanish–American War.
  • C. Willoughby J. Edbrooke
    Willoughby J. Edbrooke was a prominent late-19th-century American architect known for designing major public buildings in the Romanesque and classical styles.
  • D. Joseph Bradford
    Joseph Bradford was a colonial-era New Englander best known as a son of William Bradford, the longtime governor of Plymouth Colony and Mayflower passenger.
  • E. Edward Allen Brotherton
    Edward Allen Brotherton was a British industrialist and philanthropist whose contributions to education led to major benefactions such as the library that bears his name at the University of Leeds.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74a0aa048190ba01281f1b160609 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec35c629c81909c3b0347861d544f completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:39 p.m.