Triple

T16589470
Position Surface form Disambiguated ID Type / Status
Subject Heinrich Gustav Magnus E403044 entity
Predicate givenName P17 FINISHED
Object Heinrich E70531 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: Heinrich | Statement: [Heinrich Gustav Magnus, givenName, Heinrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinrich
Context triple: [Heinrich Gustav Magnus, givenName, Heinrich]
  • A. Heinrich chosen
    Heinrich is a masculine given name of German origin that has been borne by numerous historical figures, including nobility, scholars, and political leaders.
  • B. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • C. Hermann
    Hermann is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by various notable figures.
  • D. Hermann
    Hermann is a fictional character appearing in the work "City of Death."
  • E. Hermann
    Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599f3d18819082b3e6eef5506731 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007599dcd4819089bbd0569b3d9a12 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.