Triple

T7792622
Position Surface form Disambiguated ID Type / Status
Subject Thomas Gold Appleton E180217 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is a common masculine given name of Aramaic origin, widely used in many cultures and languages.
 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: [Thomas Gold Appleton, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas
Context triple: [Thomas Gold Appleton, givenName, Thomas]
  • A. Thomas
    Thomas is the given name of Tommy Lasorda, the Hall of Fame former manager of the Los Angeles Dodgers.
  • B. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • C. Thomas
    Thomas is the given name of Old Tom Morris, the 19th-century Scottish golfer regarded as a pioneer and four-time Open Championship winner.
  • D. Thomas
    Thomas is the given name of Thomas Pelham-Holles, 1st Duke of Newcastle, a prominent 18th-century British Whig statesman and prime minister.
  • E. Thomas
    Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
  • 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: [Thomas Gold Appleton, givenName, Thomas]
Generated description
Thomas is a common masculine given name of Aramaic origin, widely used in many cultures and languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas
Target entity description: Thomas is a common masculine given name of Aramaic origin, widely used in many cultures and languages.
  • 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 English actor Tom Hiddleston, known for his role as Loki in the Marvel Cinematic Universe.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae938714c8190b89917e6ded004da completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a00b5948190a8e6184353bbd233 completed March 31, 2026, 5:22 a.m.
NEDg Description generation batch_69cb762ce6208190a24438e26ae83785 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb615dc248190b57b4fc7c430517f completed March 31, 2026, 11:55 a.m.
Created at: March 30, 2026, 4:30 p.m.