Triple

T18678356
Position Surface form Disambiguated ID Type / Status
Subject Is-haq E456661 entity
Predicate relatedName P3889 FINISHED
Object Isak NE NERFINISHED

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: Isak | Statement: [Is-haq, relatedName, Isak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isak
Context triple: [Is-haq, relatedName, Isak]
  • A. Isak chosen
    Isak is a given name, commonly used in Scandinavian and other cultures, that corresponds to the biblical name Isaac.
  • B. Nicolai
    Nicolai is a German surname historically associated with figures such as the Enlightenment-era publisher and writer Friedrich Nicolai.
  • C. Eskil
    Eskil is a town and district in central Turkey known for its location within Aksaray Province on the Central Anatolian plateau.
  • D. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • E. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b26cb408190a4e209c0d4ff31ba completed April 19, 2026, 10:45 p.m.
Created at: April 10, 2026, 11:48 a.m.