Triple

T18204503
Position Surface form Disambiguated ID Type / Status
Subject ALBERT E435869 entity
Predicate paperAuthorsInclude P63068 FINISHED
Object Piyush Sharma
Piyush Sharma is a computer science researcher known for co-authoring the ALBERT language model paper in natural language processing.
E1313850 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: Piyush Sharma | Statement: [ALBERT, paperAuthorsInclude, Piyush Sharma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piyush Sharma
Context triple: [ALBERT, paperAuthorsInclude, Piyush Sharma]
  • A. Piyush Kanojia
    Piyush Kanojia is an Indian music composer best known for his work on the film "Gandhi, My Father."
  • B. Piyush Mishra
    Piyush Mishra is an Indian actor, lyricist, singer, and theatre artist known for his intense performances and distinctive songwriting in Hindi cinema and theatre.
  • C. Piyush
    Piyush is the birth name of Bobby Jindal, the American politician and former governor of Louisiana.
  • D. Saurabh Jha
    Saurabh Jha is an astrophysicist known for his work on high-redshift supernovae and their use in studying cosmic expansion and dark energy.
  • E. Ankur Tewari
    Ankur Tewari is an Indian singer-songwriter, composer, and filmmaker best known for his work on the soundtrack of the film "Gully Boy" and his contributions to the independent music scene.
  • 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: Piyush Sharma
Triple: [ALBERT, paperAuthorsInclude, Piyush Sharma]
Generated description
Piyush Sharma is a computer science researcher known for co-authoring the ALBERT language model paper in natural language processing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piyush Sharma
Target entity description: Piyush Sharma is a computer science researcher known for co-authoring the ALBERT language model paper in natural language processing.
  • A. Piyush Kanojia
    Piyush Kanojia is an Indian music composer best known for his work on the film "Gandhi, My Father."
  • B. Piyush Mishra
    Piyush Mishra is an Indian actor, lyricist, singer, and theatre artist known for his intense performances and distinctive songwriting in Hindi cinema and theatre.
  • C. Piyush
    Piyush is the birth name of Bobby Jindal, the American politician and former governor of Louisiana.
  • D. Saurabh Jha
    Saurabh Jha is an astrophysicist known for his work on high-redshift supernovae and their use in studying cosmic expansion and dark energy.
  • E. Ankur Tewari
    Ankur Tewari is an Indian singer-songwriter, composer, and filmmaker best known for his work on the soundtrack of the film "Gully Boy" and his contributions to the independent music scene.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac61328c8190ac6c795e74d35705 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad67e85c81909759b40b9dfd2d12 completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03aede6ea481908bb9acdb2ff17e9a completed May 12, 2026, 10:51 p.m.
Created at: April 10, 2026, 10:32 a.m.