Triple

T11940951
Position Surface form Disambiguated ID Type / Status
Subject Jocelyn E284174 entity
Predicate hasNickname P39 FINISHED
Object Jo E59674 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: Jo | Statement: [Jocelyn, hasNickname, Jo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo
Context triple: [Jocelyn, hasNickname, 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 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."
  • C. 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.
  • D. Jon
    Jon is a masculine given name, often used as a shortened form or variant of names like Jonathan or John.
  • E. Jud
    Jud is a masculine given name, often used as a short form of names like Judson or Judah.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90342bb908190a019ac91a2b82f3d completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458b9a35c8190875cb5ac7c9bcfba completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.