Triple

T9112592
Position Surface form Disambiguated ID Type / Status
Subject Una Stubbs E218637 entity
Predicate familyName P18 FINISHED
Object Stubbs E532793 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: Stubbs | Statement: [Una Stubbs, familyName, Stubbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stubbs
Context triple: [Una Stubbs, familyName, Stubbs]
  • A. Stubbs chosen
    Stubbs is a supporting character in the animated adventure film "The Sea Beast," serving as a member of the hunting crew who adds humor and personality to the story’s seafaring exploits.
  • B. Stewball
    Stewball is a rhythm and blues song popularized by the American vocal group The Coasters, based on the traditional folk ballad about a racehorse.
  • C. Stubby
    Stubby is an internal remote procedure call (RPC) framework originally developed at Google that served as the precursor and design inspiration for gRPC.
  • D. Una Stubbs
    Una Stubbs was an English actress and television personality best known for her roles in classic British series such as "Till Death Us Do Part," "Worzel Gummidge," and as Mrs. Hudson in the modern adaptation of "Sherlock."
  • E. Keeble
    Keeble is a fictional aristocratic surname most notably associated with Lady Constance Keeble in P. G. Wodehouse’s Blandings Castle stories.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03052716c8190835b0d3357a29ce5 completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.