Triple

T11098207
Position Surface form Disambiguated ID Type / Status
Subject Walter Hallstein E262430 entity
Predicate familyName P18 FINISHED
Object Hallstein
Hallstein is a German surname most notably associated with Walter Hallstein, the first president of the European Commission and a key architect of European integration.
 E904551 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: Hallstein | Statement: [Walter Hallstein, familyName, Hallstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hallstein
Context triple: [Walter Hallstein, familyName, Hallstein]
  • A. Haraldsen
    Haraldsen is a Norwegian surname most notably borne by Queen Sonja of Norway before her marriage into the royal family.
  • B. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • C. Hauke
    Hauke is a Germanic given name, particularly common in Northern Germany, that is cognate with the English name Hugh.
  • D. Heinrici
    Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
  • E. Hedebrant
    Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
  • 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: Hallstein
Triple: [Walter Hallstein, familyName, Hallstein]
Generated description
Hallstein is a German surname most notably associated with Walter Hallstein, the first president of the European Commission and a key architect of European integration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hallstein
Target entity description: Hallstein is a German surname most notably associated with Walter Hallstein, the first president of the European Commission and a key architect of European integration.
  • A. Haraldsen
    Haraldsen is a Norwegian surname most notably borne by Queen Sonja of Norway before her marriage into the royal family.
  • B. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • C. Hauke
    Hauke is a Germanic given name, particularly common in Northern Germany, that is cognate with the English name Hugh.
  • D. Heinrici
    Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
  • E. Hedebrant
    Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0b2890819081c4efc50e995cdd completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7eca9bc8190b43bae081d97d804 completed April 18, 2026, 8:22 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.