Triple

T29107660
Position Surface form Disambiguated ID Type / Status
Subject Mona Pacholska E736809 entity
Predicate authorNameOnPaper P15941 FINISHED
Object M. Pacholska
M. Pacholska is the abbreviated scholarly name used by researcher and author Mona Pacholska in academic publications.
 E1849488 NE FINISHED

How this triple was built (3 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: M. Pacholska | Statement: [Mona Pacholska, authorNameOnPaper, M. Pacholska]
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: M. Pacholska
Triple: [Mona Pacholska, authorNameOnPaper, M. Pacholska]
Generated description
M. Pacholska is the abbreviated scholarly name used by researcher and author Mona Pacholska in academic publications.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: authorNameOnPaper
Context triple: [Mona Pacholska, authorNameOnPaper, M. Pacholska]
  • A. authorName chosen
    Indicates the name associated with the person or entity that authored a given work or resource.
  • B. authorTitle
    Indicates that a person is the creator or writer of a work that bears the specified title.
  • C. printedWorkAuthor
    Indicates that a person is the creator or writer responsible for the content of a printed work.
  • D. authorPublished
    Indicates that an author has published a particular work (such as a book, article, or paper).
  • E. authorOfWorkAppearingIn
    Indicates that one entity is the creator or writer of a work that appears within another work or publication.
  • F. None of above.

Provenance (6 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_69f077ec765c81909474c88bcc8bab43 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f7c29e1b848190b945c6c6120a5330 completed May 3, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2537c079688190b8142efa06575188 completed June 7, 2026, 9:20 a.m.
NEDg Description generation batch_6a253bde7d1c819082d2aeac0b835460 completed June 7, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_6a253fc091b8819091f9253f88e27df4 completed June 7, 2026, 9:54 a.m.
PD Predicate disambiguation batch_69f7c1b6e7a881908deb96bedb2713f4 completed May 3, 2026, 9:44 p.m.
Created at: April 28, 2026, 11:16 a.m.