Triple

T8996459
Position Surface form Disambiguated ID Type / Status
Subject Justin Elicker E214926 entity
Predicate givenName P17 FINISHED
Object Justin E418627 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: Justin | Statement: [Justin Elicker, givenName, Justin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justin
Context triple: [Justin Elicker, givenName, Justin]
  • A. Justin
    Justin is the given name of Justin Trudeau, the 23rd prime minister of Canada and leader of the Liberal Party.
  • B. Justin
    Justin is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks and their impact on personal and collective identity.
  • C. Justin
    Justin is a central character in the 1997 science fiction horror film "Event Horizon," serving as one of the crew members who experiences the ship’s disturbing and reality-warping effects.
  • D. Justin chosen
    Justin is a masculine given name commonly used in English-speaking countries, derived from the Latin name Justinus meaning "just" or "righteous."
  • E. Justin
    Justin is the first name of J. J. Watt, the prominent American football defensive end known for his standout NFL career with the Houston Texans.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d586c881909090b424f6fd036f completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.