Triple

T14878571
Position Surface form Disambiguated ID Type / Status
Subject Billy Thomas E349932 entity
Predicate worksWith P398 FINISHED
Object Georgia Thomas E1134193 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: Georgia Thomas | Statement: [Billy Thomas, worksWith, Georgia Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgia Thomas
Context triple: [Billy Thomas, worksWith, Georgia Thomas]
  • A. Georgia Thomas chosen
    Georgia Thomas is a fictional attorney and partner at the Boston law firm in the television series "Ally McBeal."
  • B. Mary Matthews
    Mary Matthews is the idealistic socialite protagonist of the 1945 political drama film "State of the Union," who becomes entangled in her husband's bid for the U.S. presidency.
  • C. Georgia Davis
    Georgia Davis was the second wife of American comedian and actor Red Skelton, with whom she shared both personal and professional aspects of his entertainment career.
  • D. Mary Bullock
    Mary Bullock was the wife of Amos Kendall, a prominent 19th-century American journalist, politician, and U.S. Postmaster General.
  • E. Martha Bullock
    Martha Bullock is a fictional character from the television series "Deadwood," known as the refined and resilient wife of lawman Seth Bullock.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef5e176081909e822881a866ecec completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 1:55 a.m.