Triple

T15339134
Position Surface form Disambiguated ID Type / Status
Subject Kellan Christopher Lutz E366743 entity
Predicate spouse P13 FINISHED
Object Brittany Gonzales E448270 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: Brittany Gonzales | Statement: [Kellan Christopher Lutz, spouse, Brittany Gonzales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brittany Gonzales
Context triple: [Kellan Christopher Lutz, spouse, Brittany Gonzales]
  • A. Brittany Gonzales chosen
    Brittany Gonzales is an American TV host and model best known as the wife of actor Kellan Lutz.
  • B. Brittany Baca
    Brittany Baca is the wife of NASCAR Cup Series champion Joey Logano and is known for her involvement in charitable and family-focused activities alongside his racing career.
  • C. Kelsey Gonzalez
    Kelsey Gonzalez is a visual artist and designer known for creating cover art, including work for the band Bush.
  • D. Kelsey Gonzalez
    Kelsey Gonzalez is a musician best known as the bassist for the soul and R&B band Free Nationals, frequently associated with Anderson .Paak.
  • E. Brittany Robertson
    Brittany Robertson is an American actress known for her roles in film and television, including prominent parts in projects like "Dan in Real Life," "The Secret Circle," and "Tomorrowland."
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b41f130819082ea69ea535468ce completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:17 a.m.