Triple

T22297107
Position Surface form Disambiguated ID Type / Status
Subject Johannes E551148 entity
Predicate hasShortForm P43 FINISHED
Object Jo NE NERFINISHED

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: Jo | Statement: [Johannes, hasShortForm, Jo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo
Context triple: [Johannes, hasShortForm, Jo]
  • A. Jo chosen
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • B. JoJo
    JoJo is a reality television personality and singer best known for appearing on WWE’s show Total Divas as a cast member and ring announcer.
  • C. JoJo
    JoJo is an American singer and songwriter known for her powerful vocals and early 2000s pop and R&B hits like "Leave (Get Out)" and "Too Little Too Late."
  • D. Jos
    Jos is a major city in central Nigeria known for its relatively temperate climate, tin mining history, and role as an administrative and commercial center.
  • E. Jon
    Jon is a masculine given name, often used as a shortened form or variant of names like Jonathan or John.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15720fba0819080f6c96f6df4f1e0 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.