Triple

T16371780
Position Surface form Disambiguated ID Type / Status
Subject Geraldines E397580 entity
Predicate rivalryWith P22658 FINISHED
Object Butler dynasty E414210 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: Butler dynasty | Statement: [Geraldines, rivalryWith, Butler dynasty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butler dynasty
Context triple: [Geraldines, rivalryWith, Butler dynasty]
  • A. Butler family chosen
    The Butler family is a prominent Anglo-Irish noble dynasty historically influential in Ireland, holding major titles and estates including those of the Marquess of Ormonde.
  • B. Hall family
    The Hall family is a familial group or lineage to which Sylvia Hall belongs.
  • C. Howard family
    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.
  • D. 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.
  • E. Arthur family
    The Arthur family is a notable American family lineage that includes figures such as William Lewis Herndon Arthur among its members.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff420d04819096ff12e08edf2f8b completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc44c508190bf87b437d1447db6 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.