Triple

T11844532
Position Surface form Disambiguated ID Type / Status
Subject Clovis E281739 entity
Predicate relatedName P3889 FINISHED
Object Lewis
Lewis is a given name and surname commonly used in English-speaking countries, associated with numerous notable figures across politics, science, literature, and entertainment.
 E358648 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: Lewis | Statement: [Clovis, relatedName, Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lewis
Context triple: [Clovis, relatedName, Lewis]
  • A. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • B. Lewis
    Lewis is a masculine given name of English origin, commonly used in English-speaking countries.
  • C. Lewis
    Lewis is the largest island of the Outer Hebrides in Scotland, known for its rugged coastline, Gaelic culture, and ancient archaeological sites such as the Callanish standing stones.
  • D. Lewis
    Lewis is a common English surname borne by numerous notable individuals across politics, civil rights, arts, and sports.
  • E. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • 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: Lewis
Triple: [Clovis, relatedName, Lewis]
Generated description
Lewis is a given name and surname commonly used in English-speaking countries, associated with numerous notable figures across politics, science, literature, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lewis
Target entity description: Lewis is a given name and surname commonly used in English-speaking countries, associated with numerous notable figures across politics, science, literature, and entertainment.
  • A. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • B. Lewis
    Lewis is a common English surname borne by numerous notable individuals across politics, civil rights, arts, and sports.
  • C. Lewis chosen
    Lewis is a masculine given name of English origin, commonly used in English-speaking countries.
  • D. Lewis
    Lewis is the largest island of the Outer Hebrides in Scotland, known for its rugged coastline, Gaelic culture, and ancient archaeological sites such as the Callanish standing stones.
  • E. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1679729c08190a9f6750586f90d8d completed April 29, 2026, 2:06 a.m.
NEDg Description generation batch_69f17005c318819090e54bc64d135477 completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17814de1881908973af026af5d1d1 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.