Triple

T11333667
Position Surface form Disambiguated ID Type / Status
Subject Ellen Bowen E268411 entity
Predicate hasRomanticInterestIn P7325 FINISHED
Object Lord John Brindale E224429 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: Lord John Brindale | Statement: [Ellen Bowen, hasRomanticInterestIn, Lord John Brindale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord John Brindale
Context triple: [Ellen Bowen, hasRomanticInterestIn, Lord John Brindale]
  • A. Lord John Brindale chosen
    Lord John Brindale is a fictional aristocratic suitor featured in the 1951 romantic comedy film "Royal Wedding."
  • B. Edmund Brock
    Edmund Brock is a person notable enough to be recognized as a distinguished bearer of the surname Brock.
  • C. Richard Bellingham
    Richard Bellingham was a 17th-century colonial magistrate and politician who served multiple terms as governor of the Massachusetts Bay Colony.
  • D. Lord Danvers
    Lord Danvers is a fictional nobleman appearing as a character in William Godwin’s novel "Cloudesley."
  • E. Peregrine Maitland
    Peregrine Maitland was a British army officer and colonial administrator who served in several key imperial posts in the early 19th century.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fe5d5881908d786b212a554d8b completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5263160548190adb7d5c0fd6af0e2 completed April 19, 2026, 7 p.m.
Created at: April 8, 2026, 9:33 p.m.