Triple

T3800933
Position Surface form Disambiguated ID Type / Status
Subject Matthias Erzberger E91685 entity
Predicate givenName P17 FINISHED
Object Matthias
Matthias is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
 E157607 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: Matthias | Statement: [Matthias Erzberger, givenName, Matthias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthias
Context triple: [Matthias Erzberger, givenName, Matthias]
  • A. Matthias
    Matthias is the disciple chosen to join the Twelve Apostles after the betrayal and death of Judas Iscariot.
  • B. Matthaeus
    Matthaeus is the Latin form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
  • C. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • D. Tobias
    Tobias is the full given name of Toby Ziegler, the fictional White House Communications Director from the television series "The West Wing."
  • E. Tobias
    Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
  • 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: Matthias
Triple: [Matthias Erzberger, givenName, Matthias]
Generated description
Matthias is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthias
Target entity description: Matthias is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
  • A. Matthias chosen
    Matthias is the disciple chosen to join the Twelve Apostles after the betrayal and death of Judas Iscariot.
  • B. Matthaeus
    Matthaeus is the Latin form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
  • C. Tobias
    Tobias is the full given name of Toby Ziegler, the fictional White House Communications Director from the television series "The West Wing."
  • D. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • E. Tobias
    Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
  • F. None of above.

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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7b82c0c81909519c3988b108d8b completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f066e30481909e5baa630f3539e4 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f21d7410819084b521a7c4a4b151 completed March 14, 2026, 5:29 a.m.
NED2 Entity disambiguation (via description) batch_69b4f275d18c81909e93a6ff11fa66b4 completed March 14, 2026, 5:30 a.m.
Created at: March 9, 2026, 3:15 p.m.