Triple

T9452753
Position Surface form Disambiguated ID Type / Status
Subject Thomas Lamb Eliot E227934 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is a common masculine given name of Aramaic origin, traditionally interpreted to mean "twin" and widely used in many English-speaking and Christian-influenced cultures.
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 Lamb Eliot, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas Lamb Eliot, givenName, Thomas]
  • A. John
    John is the husband of Martha Rainsborough.
  • B. John
    John IV of Portugal was a 17th-century Portuguese king who restored the country's independence from Spain and founded the Braganza dynasty.
  • C. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • D. John
    John is the given name of Sir John Tusa, a prominent British arts administrator and former managing director of the BBC World Service and the Barbican Centre.
  • E. John
    John was a historical Prince of Asturias, the traditional title for the heir apparent to the Spanish throne.
  • 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 Lamb Eliot, givenName, Thomas]
Generated description
Thomas is a common masculine given name of Aramaic origin, traditionally interpreted to mean "twin" and widely used in many English-speaking and Christian-influenced cultures.
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, traditionally interpreted to mean "twin" and widely used in many English-speaking and Christian-influenced cultures.
  • 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 Sturridge, known for his work in film, television, and theatre.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f68f9b081908bee041d4fc77e57 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cdd08c08190b9a140e2634c4cf9 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12d8826248190aff8bf1ca1c15a03 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12ddbfe988190b639bd16be05f343 completed April 4, 2026, 3:27 p.m.
Created at: March 30, 2026, 7:52 p.m.