Triple

T11318362
Position Surface form Disambiguated ID Type / Status
Subject Paul Ford E268024 entity
Predicate familyName P18 FINISHED
Object Weaver E166853 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: Weaver | Statement: [Paul Ford, familyName, Weaver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weaver
Context triple: [Paul Ford, familyName, Weaver]
  • A. Weaver chosen
    Weaver is a common English occupational surname historically given to people who worked as weavers of cloth or textiles.
  • B. Weaver
    Weaver is a central human resistance leader and military commander in the science fiction TV series "Falling Skies," known for his fierce opposition to the alien Espheni invaders.
  • C. The Weaver
    "The Weaver" is a genre painting by Dutch Golden Age artist Abraham Bloemaert, depicting a craftsman at work and exemplifying his detailed, realistic portrayal of everyday life.
  • D. Teaspoon Hunter
    Teaspoon Hunter is a quirky, wise, and paternal marshal who oversees the Pony Express riders in the Western TV series "The Young Riders."
  • E. Boyet
    Boyet is a witty and perceptive French lord in Shakespeare’s comedy "Love’s Labour’s Lost," serving as an attendant and advisor to the Princess of France.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525d3160c8190b58c5c04a66b3e3e completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.