Triple

T2586396
Position Surface form Disambiguated ID Type / Status
Subject Jason Hudson E58014 entity
Predicate relative P37 FINISHED
Object Julian King E203533 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: Julian King | Statement: [Jason Hudson, relative, Julian King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian King
Context triple: [Jason Hudson, relative, Julian King]
  • A. Julian Osborn
    Julian Osborn is a key character in Nevil Shute’s post-apocalyptic novel "On the Beach," portrayed as a thoughtful and stoic Australian scientist confronting the inevitability of global nuclear fallout.
  • B. Julian Wadham
    Julian Wadham is a British actor known for his work in film, television, and theatre, including roles in acclaimed period dramas and historical productions.
  • C. Julian D. King chosen
    Julian D. King was the young nephew of singer and actress Jennifer Hudson, whose tragic death led to the creation of the Julian D. King Gift Foundation in his memory.
  • D. Julian Dennison
    Julian Dennison is a New Zealand actor best known for his breakout role in "Hunt for the Wilderpeople" and his performance in "Deadpool 2."
  • E. Jacob King
    Jacob King is the determined and enigmatic South African protagonist of the action-thriller film "Message from the King," who travels to Los Angeles to uncover the truth behind his sister’s disappearance and seek revenge.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3f6f6ac8190abff7b8b6ff3c023 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6581f6fc819099ea28ecbb0093d7 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.