Triple

T5622895
Position Surface form Disambiguated ID Type / Status
Subject John H. Schwarz E147649 entity
Predicate familyName P18 FINISHED
Object Schwarz
Schwarz is a theoretical physicist best known as one of the pioneers of string theory and for his work on anomaly cancellation.
 E537193 NE FINISHED

How this triple was built (4 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: Schwarz | Statement: [John H. Schwarz, familyName, Schwarz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schwarz
Context triple: [John H. Schwarz, familyName, Schwarz]
  • A. Schwaz
    Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
  • B. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • C. Schwartz
    Schwartz is a common German-origin surname borne by numerous notable individuals across fields such as music, mathematics, and literature.
  • D. Heunisch Weiss
    Heunisch Weiss is an ancient European white grape variety historically important as a parent of many classic wine grapes, including Chardonnay and Riesling.
  • E. Blacker
    Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Schwarz
Triple: [John H. Schwarz, familyName, Schwarz]
Generated description
Schwarz is a theoretical physicist best known as one of the pioneers of string theory and for his work on anomaly cancellation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schwarz
Target entity description: Schwarz is a theoretical physicist best known as one of the pioneers of string theory and for his work on anomaly cancellation.
  • A. Schwaz
    Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
  • B. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • C. Schwartz
    Schwartz is a common German-origin surname borne by numerous notable individuals across fields such as music, mathematics, and literature.
  • D. Heunisch Weiss
    Heunisch Weiss is an ancient European white grape variety historically important as a parent of many classic wine grapes, including Chardonnay and Riesling.
  • E. Blacker
    Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
  • F. None of above. chosen

Provenance (5 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02214b4948190b71a9f59499092f6 completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d5da9cc819097281dd6aa405e62 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04ed9159481909adeb9228ce59d0e completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7e64c88190bbced2f2460c1913 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:40 p.m.