Triple

T9754946
Position Surface form Disambiguated ID Type / Status
Subject Queen Elinor E236531 entity
Predicate parentOf P120 FINISHED
Object Hubert E164283 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: Hubert | Statement: [Queen Elinor, parentOf, Hubert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hubert
Context triple: [Queen Elinor, parentOf, Hubert]
  • A. Hubert chosen
    Hubert is a masculine given name of Germanic origin meaning "bright heart" or "shining intellect," historically borne by saints, nobles, and notable public figures.
  • B. Thomas Hubert
    Thomas Hubert is an author known for his work on the artificial intelligence program AlphaGo Zero.
  • C. Hubert Hawkins
    Hubert Hawkins is the bumbling yet brave entertainer-turned-hero portrayed by Danny Kaye in the 1955 musical comedy film "The Court Jester."
  • D. Hubert Hudson
    Hubert Hudson was a British navigator and seaman best known for serving under Sir Ernest Shackleton during the ill-fated Imperial Trans-Antarctic Expedition.
  • E. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb1370c8190bc153db8cababc62 completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b02ff0f4819080410d4e7e809a24 completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.