Triple

T9481974
Position Surface form Disambiguated ID Type / Status
Subject Annette Ziegler E228662 entity
Predicate familyName P18 FINISHED
Object Ziegler E185795 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: Ziegler | Statement: [Annette Ziegler, familyName, Ziegler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ziegler
Context triple: [Annette Ziegler, familyName, Ziegler]
  • A. Ziegler chosen
    Ziegler is a German-origin surname borne by various notable individuals across fields such as the arts, sciences, and public life.
  • B. Zierer
    Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
  • C. Kugler
    Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
  • D. Kiesler
    Kiesler is the birth surname of Austrian-born Hollywood actress and inventor Hedy Lamarr.
  • E. Gerlach
    Gerlach is a small, remote community in northwestern Nevada best known as the gateway to the Black Rock Desert and the annual Burning Man festival.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804af6d08190a281cb27407c791c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d0620608190a6697777ec2eec26 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:55 p.m.