Triple

T647623
Position Surface form Disambiguated ID Type / Status
Subject Dr. Hermann Gottlieb E11275 entity
Predicate usesAid P2728 FINISHED
Object cane 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: cane | Statement: [Dr. Hermann Gottlieb, usesAid, cane]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesAid
Context triple: [Dr. Hermann Gottlieb, usesAid, cane]
  • A. usedSupport
    Indicates that one entity employed or relied on another entity as a means of support or assistance in performing an action or achieving a result.
  • B. usesEquipment chosen
    Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
  • C. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • D. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • E. canUse
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f1cb24481909d3b41a56b29dee9 completed March 1, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69a49d0c0dcc8190849211d45489a5a7 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.