Triple

T10598031
Position Surface form Disambiguated ID Type / Status
Subject Catelynn Lowell E275667 entity
Predicate hasChild P369 FINISHED
Object Vaeda Baltierra E874476 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: Vaeda Baltierra | Statement: [Catelynn Lowell, hasChild, Vaeda Baltierra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaeda Baltierra
Context triple: [Catelynn Lowell, hasChild, Vaeda Baltierra]
  • A. Nova Baltierra chosen
    Nova Baltierra is the daughter of reality TV personalities Catelynn Lowell and Tyler Baltierra, known from the MTV series "Teen Mom."
  • B. Baltus
    Baltus is a fictional character best known as the wealthy farmer and father of Katrina Van Tassel in Washington Irving’s short story “The Legend of Sleepy Hollow.”
  • C. Baltiysk
    Baltiysk is a Russian port town in the Kaliningrad Oblast, strategically located on the Baltic Sea and serving as an important naval base.
  • D. Valga
    Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
  • E. Tartumaa
    Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded358248190ba9268a51b2805fc completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b6109f08190915953e0ab708981 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 7:28 p.m.