Triple

T23330675
Position Surface form Disambiguated ID Type / Status
Subject Tom Evans E591432 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is a masculine given name of Aramaic origin, widely used in English-speaking countries and associated with numerous historical and cultural figures.
 E67625 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 Evans, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas
Context triple: [Tom Evans, givenName, Thomas]
  • A. Thomas
    Thomas is the full given name of Tom Thibodeau, an American professional basketball coach known for his defensive-minded teams in the NBA.
  • B. Thomas
    Thomas is the given name of Thomas Pelham-Holles, 1st Duke of Newcastle, a prominent 18th-century British Whig statesman and prime minister.
  • C. Thomas
    Thomas is the formal given name of Tom Coughlin, the American football coach best known for leading the New York Giants to two Super Bowl victories.
  • D. Thomas
    Thomas is the first name of English singer-songwriter Tom Odell, known for his emotive piano-driven pop music.
  • E. Thomas
    Thomas is the given name of Thomas Jefferson, the third president of the United States and principal author of the Declaration of Independence.
  • 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 Evans, givenName, Thomas]
Generated description
Thomas is a masculine given name of Aramaic origin, widely used in English-speaking countries and associated with numerous historical and cultural figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas
Target entity description: Thomas is a masculine given name of Aramaic origin, widely used in English-speaking countries and associated with numerous historical and cultural figures.
  • A. Thomas chosen
    Thomas is a common masculine given name of Aramaic origin, widely used in English-speaking and many other cultures.
  • B. Thomas
    Thomas is a common surname of English and Welsh origin, derived from the given name Thomas and borne by numerous notable individuals worldwide.
  • C. Thomas
    Thomas is the given name of Thomas Paine, the influential 18th-century political philosopher and writer known for works like "Common Sense" and "The Rights of Man."
  • D. Thomas
    Thomas is the given name of Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
  • E. Thomas
    Thomas is the given first name of Tom Harmon, the famed American football player and sportscaster.
  • F. None of above.

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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197ece360819099da8443dd86a355 completed April 29, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dc097608190bc2c1ab505ca3673 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f0188388190a76923ea497f1b04 completed May 19, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5fd0c4e88190901c08e6c969e7ac completed May 19, 2026, 1:04 p.m.
Created at: April 17, 2026, 5:15 p.m.