Triple

T634757
Position Surface form Disambiguated ID Type / Status
Subject Leon Cooper E16598 entity
Predicate givenName P17 FINISHED
Object Leon
Leon is a masculine given name of Greek origin meaning "lion," commonly used in various cultures worldwide.
 E79700 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: Leon | Statement: [Leon Cooper, givenName, Leon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leon
Context triple: [Leon Cooper, givenName, Leon]
  • A. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • B. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • C. 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.
  • D. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • E. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • 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: Leon
Triple: [Leon Cooper, givenName, Leon]
Generated description
Leon is a masculine given name of Greek origin meaning "lion," commonly used in various cultures worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leon
Target entity description: Leon is a masculine given name of Greek origin meaning "lion," commonly used in various cultures worldwide.
  • A. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • B. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • C. 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.
  • D. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • E. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee4ee8481908ad45405e3f3835c completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56ef052308190bfaed448c3737ef6 completed March 2, 2026, 11:05 a.m.
NEDg Description generation batch_69a56f5668108190910db85f3beb5eed completed March 2, 2026, 11:07 a.m.
NED2 Entity disambiguation (via description) batch_69a5733acb188190b4cdd12ed3a96860 completed March 2, 2026, 11:23 a.m.
Created at: March 1, 2026, 7:35 p.m.