Triple

T16064688
Position Surface form Disambiguated ID Type / Status
Subject Nathan Dawkins E389700 entity
Predicate hasFullName P16 FINISHED
Object Nathan Dawkins E389700 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: Nathan Dawkins | Statement: [Nathan Dawkins, hasFullName, Nathan Dawkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Dawkins
Context triple: [Nathan Dawkins, hasFullName, Nathan Dawkins]
  • A. Nathan Dawkins chosen
    Nathan Dawkins is a central scientist and father-figure character in the video game "Beyond: Two Souls," known for his research into the Infraworld and his complex relationship with protagonist Jodie Holmes.
  • B. Nathan Harper
    Nathan Harper is the teenage protagonist of the action thriller film "Abduction," who discovers his life is a lie and becomes the target of a dangerous conspiracy.
  • C. Nathan Morgan
    Nathan Morgan is the birth name of Nathan Drake, the adventurous treasure-hunting protagonist of the Uncharted video game series.
  • D. Nathan
    Nathan is a prophet in the Hebrew Bible known for advising King David and courageously confronting him over his sin with Bathsheba.
  • E. Nathan
    Nathan is the given first name of the American writer and poet Jean Toomer, known for his modernist work "Cane."
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837bec688190a77ad347600b6bdc completed April 17, 2026, 12:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ef6648190bf1fe216e78ef660 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.