Triple

T21560229
Position Surface form Disambiguated ID Type / Status
Subject Galahad Threepwood E531995 entity
Predicate familyName P18 FINISHED
Object Threepwood 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: Threepwood | Statement: [Galahad Threepwood, familyName, Threepwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Threepwood
Context triple: [Galahad Threepwood, familyName, Threepwood]
  • A. Threepwood chosen
    Threepwood is the aristocratic family name of the eccentric Blandings Castle clan in P. G. Wodehouse’s comic novels.
  • B. The Wood
    "The Wood" is a 1999 coming-of-age comedy-drama film that follows three lifelong friends in Inglewood, California, as they reminisce about their youth on the day of one friend's wedding.
  • C. The Wood
    The Wood is the nickname of Boreham Wood F.C., an English football club based in Borehamwood, Hertfordshire.
  • D. Webbwood
    Webbwood is a small community in Ontario, Canada, known historically as a railway and logging town within the Sables-Spanish Rivers area.
  • E. Oaken
    Oaken is a friendly shopkeeper and sauna owner from Disney's Frozen franchise, known for his cheerful demeanor and memorable "Yoo-hoo!" greeting.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e2db2c81908b965312c50d4354 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.