Triple

T9961545
Position Surface form Disambiguated ID Type / Status
Subject Alvin Kamara E195581 entity
Predicate familyName P18 FINISHED
Object Kamara
Kamara is a surname most prominently associated with Alvin Kamara, a star NFL running back known for his versatility and playmaking ability.
E831944 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: Kamara | Statement: [Alvin Kamara, familyName, Kamara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamara
Context triple: [Alvin Kamara, familyName, Kamara]
  • A. Kamara
    Kamara is the lower chamber of the Congress of the Philippines, responsible for creating and passing national legislation.
  • B. Kei Kamara
    Kei Kamara is a Sierra Leonean professional footballer and prolific striker known for being one of Major League Soccer’s all-time leading goal scorers.
  • C. Asake Bomani
    Asake Bomani is an American writer and former jazz singer best known as the ex-wife of actor and activist Danny Glover.
  • D. Kendu Isaacs
    Kendu Isaacs is a music industry manager best known for his long-term marriage to and professional work with R&B singer Mary J. Blige.
  • E. Jamal Anderson
    Jamal Anderson is a former NFL running back best known for his Pro Bowl career with the Atlanta Falcons and popularizing the "Dirty Bird" touchdown celebration.
  • 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: Kamara
Triple: [Alvin Kamara, familyName, Kamara]
Generated description
Kamara is a surname most prominently associated with Alvin Kamara, a star NFL running back known for his versatility and playmaking ability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kamara
Target entity description: Kamara is a surname most prominently associated with Alvin Kamara, a star NFL running back known for his versatility and playmaking ability.
  • A. Kamara
    Kamara is the lower chamber of the Congress of the Philippines, responsible for creating and passing national legislation.
  • B. Kei Kamara
    Kei Kamara is a Sierra Leonean professional footballer and prolific striker known for being one of Major League Soccer’s all-time leading goal scorers.
  • C. Asake Bomani
    Asake Bomani is an American writer and former jazz singer best known as the ex-wife of actor and activist Danny Glover.
  • D. Kendu Isaacs
    Kendu Isaacs is a music industry manager best known for his long-term marriage to and professional work with R&B singer Mary J. Blige.
  • E. Jamal Anderson
    Jamal Anderson is a former NFL running back best known for his Pro Bowl career with the Atlanta Falcons and popularizing the "Dirty Bird" touchdown celebration.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d37f0c8190946b958c399f3250 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d904bbc8190ac0b28600ed2e709 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23fa1e3288190b755b3966178ad52 completed April 5, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69d24077720c81909a43ff56627095a1 completed April 5, 2026, 10:59 a.m.
Created at: March 30, 2026, 8:47 p.m.