Triple

T20606959
Position Surface form Disambiguated ID Type / Status
Subject Thomas Andrew Felton E506334 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is a masculine given name of Aramaic origin, commonly used in English-speaking countries and historically associated with the apostle Thomas from the Christian New Testament.
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 Andrew Felton, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas Andrew Felton, givenName, Thomas]
  • A. Thomas
    Thomas is the given name of Diamond Pitt, likely used as his personal or first name.
  • B. Thomas
    Thomas, also known as Doubting Thomas, was one of Jesus Christ’s Twelve Apostles, remembered for initially doubting the Resurrection until he saw and touched Jesus’ wounds.
  • C. Thomas
    Thomas is the given name of Tom Savini, the renowned American special effects makeup artist, actor, and director known for his groundbreaking work in horror films.
  • D. Thomas
    Thomas is the formal given name of Tom LaGarde, an American former professional basketball player.
  • E. Thomas
    Thomas is the first name of American television personality and talk-show host Tom Snyder, known for his late-night interview programs.
  • 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 Andrew Felton, givenName, Thomas]
Generated description
Thomas is a masculine given name of Aramaic origin, commonly used in English-speaking countries and historically associated with the apostle Thomas from the Christian New Testament.
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, commonly used in English-speaking countries and historically associated with the apostle Thomas from the Christian New Testament.
  • 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 first name of Tom Harmon, the famed American football player and sportscaster.
  • 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 name of Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad394e8819080185187a8b3de93 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3e433f48190a8c59091b99e6717 completed May 16, 2026, 6:13 p.m.
NEDg Description generation batch_6a08b485c1548190b800fb3e0fe1b138 completed May 16, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_6a08b56d00808190b382041bf0cd0173 completed May 16, 2026, 6:20 p.m.
Created at: April 16, 2026, 11:41 a.m.