Triple

T16416
Position Surface form Disambiguated ID Type / Status
Subject Noam Chomsky E327 entity
Predicate givenName P17 FINISHED
Object Avram
Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
 E643 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: Avram | Statement: [Noam Chomsky, givenName, Avram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avram
Context triple: [Noam Chomsky, givenName, Avram]
  • A. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • B. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • C. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • D. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • E. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • 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: Avram
Triple: [Noam Chomsky, givenName, Avram]
Generated description
Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avram
Target entity description: Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
  • A. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • B. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • C. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • D. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • E. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a24003aca48190b98c2df43d65e496 completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a243ca1c908190a50e20627e1b9a1e completed Feb. 28, 2026, 1:24 a.m.
NEDg Description generation batch_69a24667687481908fdf2588b57ceadc completed Feb. 28, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69a247312efc81908e6a6b75c520795d completed Feb. 28, 2026, 1:38 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.