Triple

T16446757
Position Surface form Disambiguated ID Type / Status
Subject Jantel Lavender E399449 entity
Predicate givenName P17 FINISHED
Object Jantel E436155 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: Jantel | Statement: [Jantel Lavender, givenName, Jantel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jantel
Context triple: [Jantel Lavender, givenName, Jantel]
  • A. Jonte
    Jonte is a river in southern France that carves through the limestone plateaus of the Lozère and Aveyron departments, creating the scenic Gorges de la Jonte.
  • B. Jonte
    Jonte is a Scandinavian diminutive form of the given name Jonatan, commonly used as a familiar or affectionate nickname.
  • C. Jeetzel
    Jeetzel is a river in northern Germany that flows through the Altmark region of Saxony-Anhalt.
  • D. Janel chosen
    Janel is a feminine given name most notably associated with American actress Janel Moloney.
  • E. Jann
    Jann is a given name most notably associated with Jann Wenner, the co-founder and longtime publisher of Rolling Stone magazine.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdcedf8819080aa82a8712c0b42 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004594a4508190be08f3acfff36ab0 completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.