Triple

T10719140
Position Surface form Disambiguated ID Type / Status
Subject Cam Gigandet E252769 entity
Predicate hasWorkedWith P9615 FINISHED
Object Milla Jovovich E372946 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: Milla Jovovich | Statement: [Cam Gigandet, hasWorkedWith, Milla Jovovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milla Jovovich
Context triple: [Cam Gigandet, hasWorkedWith, Milla Jovovich]
  • A. Milla Jovovich
    Milla Jovovich is a Ukrainian-born American actress, model, and musician best known for her roles in science fiction and action films such as the Resident Evil series.
  • B. Laura Kinney
    Laura Kinney, also known as X-23, is a Marvel Comics mutant and clone-daughter of Wolverine who becomes a prominent member of the X-Men.
  • C. Satyana Marie Denisof
    Satyana Marie Denisof is the daughter of American actress Alyson Hannigan and actor Alexis Denisof.
  • D. Kelly Stewart
    Kelly Stewart is one of the daughters of legendary American actor James Stewart and his wife Gloria Hatrick McLean.
  • E. Lara Stone
    Lara Stone is a Dutch fashion model renowned for her distinctive gap-toothed look and work with major luxury brands and magazines.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3722ec8190b2d78a5630bf6efc completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.