Triple

T13517961
Position Surface form Disambiguated ID Type / Status
Subject Molching E322816 entity
Predicate hasResident P6481 FINISHED
Object Tommy Müller
Tommy Müller is a young boy from the fictional German town of Molching in Markus Zusak's novel "The Book Thief," known as Liesel Meminger's friend and neighbor.
 E1046034 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: Tommy Müller | Statement: [Molching, hasResident, Tommy Müller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tommy Müller
Context triple: [Molching, hasResident, Tommy Müller]
  • A. Christian Müller
    Christian Müller was an 18th-century German-Dutch organ builder renowned for constructing some of the most celebrated baroque pipe organs in the Netherlands.
  • B. Tom Güldemann
    Tom Güldemann is a linguist known for his extensive research on African languages, particularly the Khoe and other Khoisan language families.
  • C. Tilo Möller
    Tilo Möller is a firearms designer best known for creating the MP5 submachine gun.
  • D. Conny Miller
    Conny Miller is a fictional character from the horror film "The Grave."
  • E. Uwe Blanke
    Uwe Blanke is a person notable enough to be recognized as a namesake of the surname Blanke.
  • 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: Tommy Müller
Triple: [Molching, hasResident, Tommy Müller]
Generated description
Tommy Müller is a young boy from the fictional German town of Molching in Markus Zusak's novel "The Book Thief," known as Liesel Meminger's friend and neighbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tommy Müller
Target entity description: Tommy Müller is a young boy from the fictional German town of Molching in Markus Zusak's novel "The Book Thief," known as Liesel Meminger's friend and neighbor.
  • A. Christian Müller
    Christian Müller was an 18th-century German-Dutch organ builder renowned for constructing some of the most celebrated baroque pipe organs in the Netherlands.
  • B. Tom Güldemann
    Tom Güldemann is a linguist known for his extensive research on African languages, particularly the Khoe and other Khoisan language families.
  • C. Tilo Möller
    Tilo Möller is a firearms designer best known for creating the MP5 submachine gun.
  • D. Conny Miller
    Conny Miller is a fictional character from the horror film "The Grave."
  • E. Uwe Blanke
    Uwe Blanke is a person notable enough to be recognized as a namesake of the surname Blanke.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa27f048190bed33a98e28c8d09 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d93a2608190a3a693bf4086a010 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ed5457c819093081c6a22f13c91 completed May 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69f75f7e9d2c81909ec5540b34ac97cb completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:44 p.m.