Triple

T4816168
Position Surface form Disambiguated ID Type / Status
Subject Thomas Wade Landry E107593 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is a masculine given name of Aramaic origin meaning "twin," widely used in many English-speaking and European countries.
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 Wade Landry, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas Wade Landry, givenName, Thomas]
  • A. Thomas
    Thomas is the middle name of Edward Thomas Wailes, an American diplomat.
  • B. Thomas
    Thomas is the given first name of the renowned American playwright Tennessee Williams, known for works such as "A Streetcar Named Desire" and "Cat on a Hot Tin Roof."
  • C. Thomas
    Thomas is the middle name of William T. Sampson, a notable U.S. Navy admiral from the Spanish–American War era.
  • D. Thomas
    Thomas is the given first name of American astronaut Ken Mattingly, known for his role in the Apollo and Space Shuttle programs.
  • E. Thomas
    Thomas is the given name of Sir Thomas Blamey, an Australian field marshal and senior military commander during World War II.
  • 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 Wade Landry, givenName, Thomas]
Generated description
Thomas is a masculine given name of Aramaic origin meaning "twin," widely used in many English-speaking and European countries.
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 meaning "twin," widely used in many English-speaking and European countries.
  • 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 Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
  • D. 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."
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c947b18819086c3af556bb7591c completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d8e724c8190bfca713d5d022be6 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be516836ec8190b5ee3829945ffc06 completed March 21, 2026, 8:06 a.m.
NED2 Entity disambiguation (via description) batch_69be52cd7aa481908963eb1ec2683a76 completed March 21, 2026, 8:11 a.m.
Created at: March 20, 2026, 1:23 p.m.