Triple

T14421460
Position Surface form Disambiguated ID Type / Status
Subject Jon Kraft E357593 entity
Predicate givenName P17 FINISHED
Object Jon E295174 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: Jon | Statement: [Jon Kraft, givenName, Jon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon
Context triple: [Jon Kraft, givenName, Jon]
  • A. Jon chosen
    Jon is a masculine given name, often used as a shortened form or variant of names like Jonathan or John.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. Josh
    Josh is a fictional political operative best known as the sharp-witted Deputy White House Chief of Staff on the television series "The West Wing."
  • D. Josh
    Josh is a masculine given name commonly used in English-speaking countries, often as a short form of Joshua.
  • E. Josh
    Josh is a character in the horror film "Midsommar," portrayed as one of the American graduate students who travel to a remote Swedish commune for a midsummer festival that turns increasingly disturbing.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcb131c8190935d9bacb1afc995 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.