Triple

T7923442
Position Surface form Disambiguated ID Type / Status
Subject Josh Hart E184000 entity
Predicate givenName P17 FINISHED
Object Josh E288652 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: Josh | Statement: [Josh Hart, givenName, Josh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh
Context triple: [Josh Hart, givenName, Josh]
  • A. 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."
  • B. Josh chosen
    Josh is a masculine given name commonly used in English-speaking countries, often as a short form of Joshua.
  • C. 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.
  • D. Josh
    Josh is the young protagonist who leads the fight against the ravenous alien creatures in the horror-comedy film "Critters 3."
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aaadd1c8190971f2a6c7636cae4 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe00951748190b6036cb359f2a6e3 completed March 31, 2026, 2:54 p.m.
Created at: March 30, 2026, 5:06 p.m.