Triple

T35307
Position Surface form Disambiguated ID Type / Status
Subject Judaism E699 entity
Predicate hasKeyFigure P810 FINISHED
Object Isaac E9364 NE FINISHED

How this triple was built (2 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: Isaac | Statement: [Judaism, hasKeyFigure, Isaac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isaac
Context triple: [Judaism, hasKeyFigure, Isaac]
  • A. Samuel
    Samuel is the birth name of the famed American author Mark Twain, known for classics like "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • B. Abraham
    Abraham is the given name of Abraham Lincoln, the 16th president of the United States who led the country through the Civil War and abolished slavery.
  • C. Abraham chosen
    Abraham is a foundational patriarch in the Hebrew Bible, revered as the ancestor of the Israelites and a central figure in Jewish religious tradition.
  • D. Avram
    Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24886d3208190bec30070a361666d completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c15db808190b8d66206a4ed1085 completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.