Triple

T260891
Position Surface form Disambiguated ID Type / Status
Subject Rajon Rondo E5538 entity
Predicate givenName P17 FINISHED
Object Rajon
Rajon is the given name of Rajon Rondo, an American former professional basketball point guard best known for his NBA championships with the Boston Celtics and Los Angeles Lakers.
 E33829 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: Rajon | Statement: [Rajon Rondo, givenName, Rajon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rajon
Context triple: [Rajon Rondo, givenName, Rajon]
  • A. Arausio
    Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
  • B. Idumea
    Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
  • C. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • D. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • E. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • 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: Rajon
Triple: [Rajon Rondo, givenName, Rajon]
Generated description
Rajon is the given name of Rajon Rondo, an American former professional basketball point guard best known for his NBA championships with the Boston Celtics and Los Angeles Lakers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rajon
Target entity description: Rajon is the given name of Rajon Rondo, an American former professional basketball point guard best known for his NBA championships with the Boston Celtics and Los Angeles Lakers.
  • A. Arausio
    Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
  • B. Idumea
    Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
  • C. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • D. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • E. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d72dad4819092c9502e6e4edc44 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a383773dc481908aeb9eaa09f8467f completed March 1, 2026, 12:08 a.m.
NEDg Description generation batch_69a383fa4f648190b859e0ae0a997f10 completed March 1, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69a384a01f1c8190bca17608d97413c2 completed March 1, 2026, 12:13 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.