Triple

T21712166
Position Surface form Disambiguated ID Type / Status
Subject Moriz Benedikt E535932 entity
Predicate givenName P17 FINISHED
Object Moriz
Moriz is a masculine given name of Germanic origin, commonly used in German-speaking countries.
 E1498643 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: Moriz | Statement: [Moriz Benedikt, givenName, Moriz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moriz
Context triple: [Moriz Benedikt, givenName, Moriz]
  • A. Sumio
    Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
  • B. Seishi
    Seishi is a Japanese given name historically borne by figures such as Fujiwara no Seishi, a noblewoman of the Heian period.
  • C. Yataro
    Yataro is a Japanese given name most famously borne by Yataro Iwasaki, the founder of the Mitsubishi conglomerate.
  • D. Muneyoshi
    Muneyoshi is the given name of Yanagi Sōetsu, the influential Japanese philosopher and founder of the mingei (folk craft) movement.
  • E. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • 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: Moriz
Triple: [Moriz Benedikt, givenName, Moriz]
Generated description
Moriz is a masculine given name of Germanic origin, commonly used in German-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moriz
Target entity description: Moriz is a masculine given name of Germanic origin, commonly used in German-speaking countries.
  • A. Sumio
    Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
  • B. Seishi
    Seishi is a Japanese given name historically borne by figures such as Fujiwara no Seishi, a noblewoman of the Heian period.
  • C. Yataro
    Yataro is a Japanese given name most famously borne by Yataro Iwasaki, the founder of the Mitsubishi conglomerate.
  • D. Muneyoshi
    Muneyoshi is the given name of Yanagi Sōetsu, the influential Japanese philosopher and founder of the mingei (folk craft) movement.
  • E. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb53450108190ba1c9e3cc3a0ab89 completed April 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24afb170819082e8b5d06427140a completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a276da268819082c3e2551f05e020 completed May 17, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_6a0a27d9bb248190b65da5cb50c332ec completed May 17, 2026, 8:40 p.m.
Created at: April 16, 2026, 6:46 p.m.