Triple

T556050
Position Surface form Disambiguated ID Type / Status
Subject Edward Fox E11942 entity
Predicate notableWork P4 FINISHED
Object Lewis
"Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
E72708 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: [Edward Fox, notableWork, Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lewis
Context triple: [Edward Fox, notableWork, Lewis]
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. Luke
    Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
  • C. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • D. Larry
    Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
  • E. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • 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: [Edward Fox, notableWork, Lewis]
Generated description
"Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lewis
Target entity description: "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. Luke
    Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
  • C. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • D. Larry
    Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
  • E. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991ef9b0819092ec0407270373f4 completed March 1, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089bce6c8190a5c4f708fb94668b completed March 2, 2026, 3:48 a.m.
NEDg Description generation batch_69a5095544788190b3857961ad182716 completed March 2, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_69a509c051108190961b41e045208285 completed March 2, 2026, 3:53 a.m.
Created at: March 1, 2026, 7:32 p.m.