Triple

T19755894
Position Surface form Disambiguated ID Type / Status
Subject Mülheimer Dramatikerpreis E474498 entity
Predicate hasRelatedAward P219 FINISHED
Object KinderStückePreis
KinderStückePreis is a German theater award recognizing outstanding contemporary plays written for children.
E1394806 NE FINISHED

How this triple was built (4 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: KinderStückePreis | Statement: [Mülheimer Dramatikerpreis, hasRelatedAward, KinderStückePreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KinderStückePreis
Context triple: [Mülheimer Dramatikerpreis, hasRelatedAward, KinderStückePreis]
  • A. Kinder Low
    Kinder Low is a prominent high point on the Kinder Scout plateau in the Peak District, often noted as one of the highest marked summits in the area.
  • B. Kinder Scut
    Kinder Scut is an alternative local name for Kinder Downfall, a prominent waterfall on Kinder Scout in the Peak District of England.
  • C. "Brüderlein und Schwesterlein"
    "Brüderlein und Schwesterlein" is a well-known sentimental ensemble piece from Johann Strauss II’s operetta *Die Fledermaus*, often performed as a highlight of the work.
  • D. Kidstuff
    Kidstuff is a character appearing in the Hong Kong action-comedy film "My Lucky Stars."
  • E. Childs Play
    Child's Play is a horror film franchise centered on the killer doll Chucky, known for blending slasher violence with dark humor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KinderStückePreis
Triple: [Mülheimer Dramatikerpreis, hasRelatedAward, KinderStückePreis]
Generated description
KinderStückePreis is a German theater award recognizing outstanding contemporary plays written for children.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KinderStückePreis
Target entity description: KinderStückePreis is a German theater award recognizing outstanding contemporary plays written for children.
  • A. Kinder Low
    Kinder Low is a prominent high point on the Kinder Scout plateau in the Peak District, often noted as one of the highest marked summits in the area.
  • B. Kinder Scut
    Kinder Scut is an alternative local name for Kinder Downfall, a prominent waterfall on Kinder Scout in the Peak District of England.
  • C. "Brüderlein und Schwesterlein"
    "Brüderlein und Schwesterlein" is a well-known sentimental ensemble piece from Johann Strauss II’s operetta *Die Fledermaus*, often performed as a highlight of the work.
  • D. Kidstuff
    Kidstuff is a character appearing in the Hong Kong action-comedy film "My Lucky Stars."
  • E. Childs Play
    Child's Play is a horror film franchise centered on the killer doll Chucky, known for blending slasher violence with dark humor.
  • F. None of above. chosen

Provenance (5 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531afcbc8190bd5364700008f6d8 completed April 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd67064081908839a408b0e746e1 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07bde28e848190aaa9c4a06b31bdb6 completed May 16, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.