Triple

T12823769
Position Surface form Disambiguated ID Type / Status
Subject Udonis Haslem E306596 entity
Predicate givenName P17 FINISHED
Object Udonis
Udonis is a retired American professional basketball player best known for his long, championship-winning career as a power forward with the Miami Heat in the NBA.
 E1004828 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: Udonis | Statement: [Udonis Haslem, givenName, Udonis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Udonis
Context triple: [Udonis Haslem, givenName, Udonis]
  • A. Udo
    Udo is a masculine given name of Germanic origin, commonly used in German-speaking countries.
  • B. Ushu
    Ushu is a scenic mountainous village in Pakistan’s Swat Valley, known for its lush forests, rivers, and access to trekking and natural viewpoints.
  • C. Ogi
    Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
  • D. Anoa'i
    Anoa'i is a prominent Samoan-American wrestling family whose members, including Roman Reigns, have had a major impact on professional wrestling across multiple generations.
  • E. Okonedo
    Okonedo is the surname of Sophie Okonedo, a British actress known for her acclaimed performances in film, television, and theatre.
  • 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: Udonis
Triple: [Udonis Haslem, givenName, Udonis]
Generated description
Udonis is a retired American professional basketball player best known for his long, championship-winning career as a power forward with the Miami Heat in the NBA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Udonis
Target entity description: Udonis is a retired American professional basketball player best known for his long, championship-winning career as a power forward with the Miami Heat in the NBA.
  • A. Udo
    Udo is a masculine given name of Germanic origin, commonly used in German-speaking countries.
  • B. Ushu
    Ushu is a scenic mountainous village in Pakistan’s Swat Valley, known for its lush forests, rivers, and access to trekking and natural viewpoints.
  • C. Ogi
    Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
  • D. Anoa'i
    Anoa'i is a prominent Samoan-American wrestling family whose members, including Roman Reigns, have had a major impact on professional wrestling across multiple generations.
  • E. Okonedo
    Okonedo is the surname of Sophie Okonedo, a British actress known for her acclaimed performances in film, television, and theatre.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96edcc99c8190986cd78fe4714835 completed April 10, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed337248190a007fe18c6379910 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f691341d0081909ca3b281ee64b42b completed May 3, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69f69237394c8190832d6dae22434fdc completed May 3, 2026, 12:09 a.m.
Created at: April 9, 2026, 5:32 p.m.