Triple

T4922523
Position Surface form Disambiguated ID Type / Status
Subject Merab E110498 entity
Predicate hasSibling P363 FINISHED
Object Jonathan E44008 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: Jonathan | Statement: [Merab, hasSibling, Jonathan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan
Context triple: [Merab, hasSibling, Jonathan]
  • A. Jonathan chosen
    Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
  • B. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • C. Jeremy
    Jeremy is one of the central male protagonists in the romantic comedy film "Think Like a Man," which follows a group of men whose relationships are upended when their partners start using advice from Steve Harvey’s dating book.
  • D. Jeremy
    "Jeremy" is a widely acclaimed Pearl Jam song, known for its haunting narrative about a troubled youth and its powerful, socially charged music video.
  • E. Jake
    Jake is a masculine given name commonly used in English-speaking countries, often as a short form of Jacob.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffc2ab08190992db2400562bcee completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0d3fef08190a45e68cab7bb5668 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:30 p.m.