Triple

T11090792
Position Surface form Disambiguated ID Type / Status
Subject Loren J. Shriver E262247 entity
Predicate givenName P17 FINISHED
Object Loren E532883 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: Loren | Statement: [Loren J. Shriver, givenName, Loren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loren
Context triple: [Loren J. Shriver, givenName, Loren]
  • A. Loren chosen
    Loren is a given name used for people of any gender, often as a variant or shortened form of names like Lorenzo or Lauren.
  • B. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • C. Lesnie
    Lesnie is the surname of Andrew Lesnie, the Academy Award–winning Australian cinematographer best known for his work on The Lord of the Rings film trilogy.
  • D. Kaven
    Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
  • E. Guion
    Guion is a surname of French origin historically associated with several notable families and individuals.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ebae8c8190987b474adb7ede47 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7c586808190a576803b7406a49e completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.