Triple

T19282521
Position Surface form Disambiguated ID Type / Status
Subject Hauteville E482224 entity
Predicate hasMember P10 FINISHED
Object William Iron Arm NE NERFINISHED

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: William Iron Arm | Statement: [Hauteville, hasMember, William Iron Arm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Iron Arm
Context triple: [Hauteville, hasMember, William Iron Arm]
  • A. William Iron Arm chosen
    William Iron Arm was an 11th-century Norman adventurer and military leader who became one of the first Norman rulers in southern Italy, helping establish Norman power in the region.
  • B. Mark Ironside
    Mark Ironside is a former American collegiate wrestler best known as a dominant, multi-time NCAA champion for the University of Iowa under coach Dan Gable.
  • C. Nick Boraine
    Nick Boraine is a South African actor known for his work in film, television, and theatre, often appearing in politically themed and socially conscious productions.
  • D. Herb Tarlek
    Herb Tarlek is a loud, tacky-suited, and comically inept advertising salesman character from the WKRP in Cincinnati television franchise.
  • E. Armant
    Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbffda78819088bf8dbc61756831 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.