Triple

T11842404
Position Surface form Disambiguated ID Type / Status
Subject Belinda Boyd E281684 entity
Predicate givenName P17 FINISHED
Object Belinda E507521 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: Belinda | Statement: [Belinda Boyd, givenName, Belinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belinda
Context triple: [Belinda Boyd, givenName, Belinda]
  • A. Belinda
    Belinda is a central female character in John Vanbrugh’s Restoration comedy "The Provoked Wife," known for her wit and involvement in the play’s marital and social intrigues.
  • B. Belinda
    Belinda is a lively, hot-tempered but good-hearted schoolgirl character from Enid Blyton’s Malory Towers series.
  • C. Belinda chosen
    Belinda is a feminine given name most notably borne by American singer Belinda Carlisle, the lead vocalist of the Go-Go's.
  • D. Belinda
    "Belinda" is an 1801 novel by Maria Edgeworth that explores themes of female education, marriage, and social manners in early 19th-century British society.
  • E. Belinda
    Belinda is a key character in the crime drama film "Owning Mahowny," serving as the loyal girlfriend whose relationship is strained by the protagonist’s escalating gambling addiction.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65a597c8190b09f57463b279afc completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1678668ac81909bddf67e8c176757 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.