Triple

T3591966
Position Surface form Disambiguated ID Type / Status
Subject Catherine Howard E76045 entity
Predicate nobleFamily P914 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: [Catherine Howard, nobleFamily, Howard family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard family
Context triple: [Catherine Howard, nobleFamily, 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15a546481909c72dac80d65e1fb completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43305b21081909d7f78dac96ceaa8 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:22 p.m.