Triple

T8005730
Position Surface form Disambiguated ID Type / Status
Subject Ottmar Hitzfeld E186359 entity
Predicate givenName P17 FINISHED
Object Ottmar
Ottmar is a German former football player and highly successful manager best known for leading Borussia Dortmund and Bayern Munich to numerous domestic and European titles.
 E705410 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: Ottmar | Statement: [Ottmar Hitzfeld, givenName, Ottmar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ottmar
Context triple: [Ottmar Hitzfeld, givenName, Ottmar]
  • A. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • B. Stefan Zumtaugwald
    Stefan Zumtaugwald was a 19th-century Swiss mountaineer known for participating in the first ascent of the Alpine peak Liskamm.
  • C. Franz John
    Franz John was a German football pioneer best known as the founding figure and first president of FC Bayern Munich.
  • D. Johann Nelböck
    Johann Nelböck was an Austrian former student best known for assassinating the philosopher Moritz Schlick in 1936.
  • E. Klemens
    Klemens is a given name, primarily used in German-speaking and Central European countries, that corresponds to the Latin-derived name Clemens.
  • 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: Ottmar
Triple: [Ottmar Hitzfeld, givenName, Ottmar]
Generated description
Ottmar is a German former football player and highly successful manager best known for leading Borussia Dortmund and Bayern Munich to numerous domestic and European titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ottmar
Target entity description: Ottmar is a German former football player and highly successful manager best known for leading Borussia Dortmund and Bayern Munich to numerous domestic and European titles.
  • A. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • B. Stefan Zumtaugwald
    Stefan Zumtaugwald was a 19th-century Swiss mountaineer known for participating in the first ascent of the Alpine peak Liskamm.
  • C. Franz John
    Franz John was a German football pioneer best known as the founding figure and first president of FC Bayern Munich.
  • D. Johann Nelböck
    Johann Nelböck was an Austrian former student best known for assassinating the philosopher Moritz Schlick in 1936.
  • E. Klemens
    Klemens is a given name, primarily used in German-speaking and Central European countries, that corresponds to the Latin-derived name Clemens.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf72fc08190aa78b97c1ab92f90 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe12c068c8190a6ea7e924a7748c6 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cc46c221848190848c7e017e532a16 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc480d2f40819085046a1d0c9d05e0 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:18 p.m.