Triple

T10399044
Position Surface form Disambiguated ID Type / Status
Subject Zimmer Biomet E245094 entity
Predicate hasPredecessor P97 FINISHED
Object Zimmer E662061 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: Zimmer | Statement: [Zimmer Biomet, hasPredecessor, Zimmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zimmer
Context triple: [Zimmer Biomet, hasPredecessor, Zimmer]
  • A. Zimmer chosen
    Zimmer is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
  • B. Zimmatic
    Zimmatic is a leading agricultural irrigation equipment brand known for its center pivot and lateral move systems used to efficiently water large-scale crops.
  • C. Hall H
    Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
  • D. Gorden
    Gorden is a masculine given name, notably borne by former Australian rugby league footballer Gorden Tallis.
  • E. Round Room
    The Round Room is a prominent circular gallery space within Birmingham Museum and Art Gallery, known for displaying key works from the museum’s art collections.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d1f2408190beaa8197641c66b4 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e84f7a08190b83ecfec72efb7a7 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:07 p.m.