Triple

T7341929
Position Surface form Disambiguated ID Type / Status
Subject William Strickland E169272 entity
Predicate name P16 FINISHED
Object William Strickland E169272 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: William Strickland | Statement: [William Strickland, name, William Strickland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Strickland
Context triple: [William Strickland, name, William Strickland]
  • A. William Strickland chosen
    William Strickland was a prominent 19th-century American architect and engineer known for pioneering the Greek Revival style in the United States.
  • B. Richard Strickland
    Richard Strickland is the primary antagonist in Guillermo del Toro's film "The Shape of Water," a cruel government agent whose brutality and obsession drive much of the story's conflict.
  • C. Charles Hackley
    Charles Hackley was a prominent 19th-century lumber baron and philanthropist from Muskegon, Michigan, known for his significant contributions to the city’s cultural and educational institutions.
  • D. William Cottrell
    William Cottrell was an American screenwriter and director best known for his work on classic Disney animated films in the mid-20th century.
  • E. William Gaxton
    William Gaxton was an American stage and film actor best known for his leading roles in Broadway musical comedies during the early to mid-20th century.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0da176081909a40552c6f22087c completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b032308190875b82c3ad169829 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:04 p.m.