Triple

T14868310
Position Surface form Disambiguated ID Type / Status
Subject Hermann Helmer E349674 entity
Predicate notableWork P4 FINISHED
Object Odense Theatre E638294 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: Odense Theatre | Statement: [Hermann Helmer, notableWork, Odense Theatre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odense Theatre
Context triple: [Hermann Helmer, notableWork, Odense Theatre]
  • A. Odense Theatre chosen
    Odense Theatre is a historic Danish playhouse in the city of Odense, known for staging a wide repertoire of classical and contemporary performances.
  • B. Frederiksberg Theatre
    Frederiksberg Theatre is a historic performing arts venue located in the Frederiksberg district of Copenhagen, Denmark.
  • C. Aarhus Theatre
    Aarhus Theatre is a prominent historic playhouse and cultural landmark in Aarhus, Denmark, known for staging a wide range of theatrical performances.
  • D. Nyborg Theatre
    Nyborg Theatre is a cultural venue in the Danish town of Nyborg, hosting theatrical performances and other performing arts events.
  • E. Svendborg Theatre
    Svendborg Theatre is a cultural venue in the Danish town of Svendborg, known for hosting a variety of theatrical performances and performing arts events.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe651067cc8190b9c218ef1f802762 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:55 a.m.