Triple

T5845448
Position Surface form Disambiguated ID Type / Status
Subject Gustav Hertz E129696 entity
Predicate relationshipToHeinrichHertz P10260 FINISHED
Object great-nephew LITERAL 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: great-nephew | Statement: [Gustav Hertz, relationshipToHeinrichHertz, great-nephew]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToHeinrichHertz
Context triple: [Gustav Hertz, relationshipToHeinrichHertz, great-nephew]
  • A. discoveredBy
    Indicates that something was found, identified, or brought to light through the efforts or actions of a particular agent.
  • B. involvedScientist
    Indicates that a scientist participated in, contributed to, or was otherwise actively involved with a specified project, study, or activity.
  • C. historicallyFormulatedBy
    Indicates that something (such as an idea, theory, or document) was originally developed, articulated, or formally established by a particular agent or group in the past.
  • D. notableScientist
    Indicates that the subject is a scientist who is widely recognized for significant contributions or impact in their field.
  • E. historicalRelationship chosen
    Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
  • F. None of above.

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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69c0334412388190bc594794ec5754f9 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:55 p.m.