Triple

T11476534
Position Surface form Disambiguated ID Type / Status
Subject Robin van Persie E272036 entity
Predicate parentOf P120 FINISHED
Object Dina van Persie E927581 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: Dina van Persie | Statement: [Robin van Persie, parentOf, Dina van Persie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dina van Persie
Context triple: [Robin van Persie, parentOf, Dina van Persie]
  • A. Bouchra van Persie chosen
    Bouchra van Persie is the wife of former Dutch professional footballer Robin van Persie and is known for largely maintaining a private life away from the public spotlight.
  • B. Marc de Jonge
    Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
  • C. Bete Denagel
    Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
  • D. Saskia de Jonge
    Saskia de Jonge is a Dutch former competitive swimmer who specialized in freestyle events and represented the Netherlands in international competitions, including the Olympic Games.
  • E. Eeltije Vinck
    Eeltije Vinck was the wife of Dutch Golden Age landscape painter Meindert Hobbema.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294e0fe08190b018e840146e27ca completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6042507c4819096afc2839fda186d completed April 20, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:36 p.m.