Triple

T21850170
Position Surface form Disambiguated ID Type / Status
Subject Tom Skilling E539483 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the full given name of Tom Skilling, a prominent American television meteorologist known for his long career in Chicago weather broadcasting.
E1505959 NE FINISHED

How this triple was built (4 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: [Tom Skilling, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Tom Skilling, givenName, Thomas]
  • A. Thomas
    Thomas is the given name of Sir Stamford Raffles, the British statesman best known as the founder of modern Singapore.
  • B. Thomas
    Thomas is the formal given name of Tom LaGarde, an American former professional basketball player.
  • C. Thomas
    Thomas is the given name of Sir Thomas Hislop, a British Army officer who served during the Napoleonic Wars and in colonial India.
  • D. Thomas
    Thomas is a character appearing in the animated series "Exit 9B" from the show "Regular Show."
  • E. Thomas
    Thomas is the given name of Thomas de Quincey, the 19th-century English essayist best known for "Confessions of an English Opium-Eater."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Thomas
Triple: [Tom Skilling, givenName, Thomas]
Generated description
Thomas is the full given name of Tom Skilling, a prominent American television meteorologist known for his long career in Chicago weather broadcasting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the full given name of Tom Skilling, a prominent American television meteorologist known for his long career in Chicago weather broadcasting.
  • A. Thomas
    Thomas is the given name of Tom Brookshier, an American football player and sportscaster.
  • B. Thomas
    Thomas is the full given name of Tom Thibodeau, an American professional basketball coach known for his defensive-minded teams in the NBA.
  • C. Thomas
    Thomas is the given name of American television journalist and longtime NBC Nightly News anchor Tom Brokaw.
  • D. 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.
  • E. Thomas
    Thomas is the full given name of American television personality and game show host Tom Bergeron.
  • F. None of above. chosen

Provenance (5 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd582ca48190890648fdee2a0c6e completed April 28, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a5297814081908721234a371bb327 completed May 17, 2026, 11:43 p.m.
NEDg Description generation batch_6a0a535478e08190954996353b52a108 completed May 17, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0a53f05f00819080b8cc39f43f8196 completed May 17, 2026, 11:49 p.m.
Created at: April 16, 2026, 6:55 p.m.