Triple

T167889
Position Surface form Disambiguated ID Type / Status
Subject Emma Thompson E3055 entity
Predicate familyName P18 FINISHED
Object Thompson
Thompson is a common English-language surname borne by numerous notable individuals across fields such as acting, sports, politics, and science.
 E25151 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: Thompson | Statement: [Emma Thompson, familyName, Thompson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thompson
Context triple: [Emma Thompson, familyName, Thompson]
  • A. Powell
    Powell is a common English-language surname borne by numerous notable figures in politics, finance, sports, and the arts.
  • B. John S. Thompsonbrug
    John S. Thompsonbrug is a notable bridge in the Dutch town of Grave, known for its strategic importance and role in World War II.
  • C. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • D. Trent
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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: Thompson
Triple: [Emma Thompson, familyName, Thompson]
Generated description
Thompson is a common English-language surname borne by numerous notable individuals across fields such as acting, sports, politics, and science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thompson
Target entity description: Thompson is a common English-language surname borne by numerous notable individuals across fields such as acting, sports, politics, and science.
  • A. Powell
    Powell is a common English-language surname borne by numerous notable figures in politics, finance, sports, and the arts.
  • B. John S. Thompsonbrug
    John S. Thompsonbrug is a notable bridge in the Dutch town of Grave, known for its strategic importance and role in World War II.
  • C. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • D. Trent
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • F. None of above. chosen

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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b58efc8190959c86f73d67b744 completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3161ab0548190b4c0ed74a79cea46 completed Feb. 28, 2026, 4:21 p.m.
NEDg Description generation batch_69a3167fb4b081908fc448e45b80c5c0 completed Feb. 28, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69a31a2b3f388190b54ee9c5c2bcad79 completed Feb. 28, 2026, 4:39 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.