Triple

T13877973
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Howard E333631 entity
Predicate memberOf P10 FINISHED
Object Howard family E95251 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: Howard family | Statement: [Nicholas Howard, memberOf, Howard family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard family
Context triple: [Nicholas Howard, memberOf, Howard family]
  • A. Howard family chosen
    The Howard family is a prominent English noble house that has long held the dukedom of Norfolk and played a major role in the political and social life of the British aristocracy.
  • B. Howard family
    The Howard family is an American show-business family best known for actors and filmmakers like Rance Howard and his son Ron Howard.
  • C. Bruce family
    The Bruce family was a powerful medieval Scottish noble dynasty that produced several prominent figures, including Robert the Bruce, King of Scots.
  • D. Hall family
    The Hall family is a familial group or lineage to which Sylvia Hall belongs.
  • E. Stephen family
    The Stephen family was a prominent British intellectual and literary family of the late 19th and early 20th centuries, closely associated with the Bloomsbury Group and including figures such as Virginia Woolf and Vanessa Bell.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be71d388190909290cad2c6daf5 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1bdb1a08190abaf4d9ceb04525a completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:15 p.m.