Triple

T14021206
Position Surface form Disambiguated ID Type / Status
Subject Thom E337333 entity
Predicate hasRelatedName P3889 FINISHED
Object Thomas unclear NED1 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: Thomas | Statement: [Thom, hasRelatedName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thom, hasRelatedName, Thomas]
  • A. Thomas
    Thomas is the full given name of Tom Brady, the legendary NFL quarterback widely regarded as one of the greatest players in American football history.
  • B. Thomas
    Thomas is the formal given name of American politician Tom Daschle, who served as U.S. Senate Majority Leader.
  • C. Thomas
    Thomas is the given name of Sir Stamford Raffles, the British statesman best known as the founder of modern Singapore.
  • D. Thomas
    Thomas is the given name of Thomas Pitt, 1st Baron Camelford, a British naval officer and aristocrat known for his volatile temperament in the late 18th and early 19th centuries.
  • E. Thomas
    Thomas is the formal given name of the fictional crime boss Tommy Shelby from the television series "Peaky Blinders."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3c7cd88190b236382058581740 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdef7a6d881909297d74ae60f7681 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:19 p.m.