Triple

T5540225
Position Surface form Disambiguated ID Type / Status
Subject Roman Jakobson E145270 entity
Predicate familyName P18 FINISHED
Object Jakobson
Jakobson is a surname most prominently associated with Roman Jakobson, a pioneering linguist and literary theorist known for his work in structuralism and communication theory.
 E530421 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: Jakobson | Statement: [Roman Jakobson, familyName, Jakobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jakobson
Context triple: [Roman Jakobson, familyName, Jakobson]
  • A. Jacobsen
    Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
  • B. Joffe
    Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
  • C. Niklaus
    Niklaus is a masculine given name of Germanic origin, notably borne by Swiss computer scientist Niklaus Wirth.
  • D. Ossip
    Ossip is a masculine given name of Slavic origin, notably borne by pianist and conductor Ossip Gabrilowitsch.
  • E. Abelson
    Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
  • 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: Jakobson
Triple: [Roman Jakobson, familyName, Jakobson]
Generated description
Jakobson is a surname most prominently associated with Roman Jakobson, a pioneering linguist and literary theorist known for his work in structuralism and communication theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jakobson
Target entity description: Jakobson is a surname most prominently associated with Roman Jakobson, a pioneering linguist and literary theorist known for his work in structuralism and communication theory.
  • A. Jacobsen
    Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
  • B. Joffe
    Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
  • C. Niklaus
    Niklaus is a masculine given name of Germanic origin, notably borne by Swiss computer scientist Niklaus Wirth.
  • D. Ossip
    Ossip is a masculine given name of Slavic origin, notably borne by pianist and conductor Ossip Gabrilowitsch.
  • E. Abelson
    Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb487648190948493fe96cec0ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0281bfcc48190a0e4e51b4dca5a4b completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c0362dc2648190b1cb81d6aa3050da completed March 22, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69c036adf9ac8190aed5688d67e52304 completed March 22, 2026, 6:36 p.m.
Created at: March 22, 2026, 3:35 p.m.