Triple

T1057966
Position Surface form Disambiguated ID Type / Status
Subject Roland Freisler E22839 entity
Predicate givenName P17 FINISHED
Object Roland
Roland is a masculine given name of Germanic origin, historically associated with the legendary Frankish hero of "The Song of Roland" and later borne by various notable figures.
 E121395 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: Roland | Statement: [Roland Freisler, givenName, Roland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roland
Context triple: [Roland Freisler, givenName, Roland]
  • A. Reinhard
    Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
  • B. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • C. Rolf
    Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • D. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • E. Sieg
    The Sieg is a river in western Germany that flows through North Rhine-Westphalia and Rhineland-Palatinate before joining the Rhine.
  • 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: Roland
Triple: [Roland Freisler, givenName, Roland]
Generated description
Roland is a masculine given name of Germanic origin, historically associated with the legendary Frankish hero of "The Song of Roland" and later borne by various notable figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roland
Target entity description: Roland is a masculine given name of Germanic origin, historically associated with the legendary Frankish hero of "The Song of Roland" and later borne by various notable figures.
  • A. Reinhard
    Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
  • B. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • C. Rolf
    Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • D. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • E. Sieg
    The Sieg is a river in western Germany that flows through North Rhine-Westphalia and Rhineland-Palatinate before joining the Rhine.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8dc9e8c819099fbb192bcf80615 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd110ac8190b66163de42bd3034 completed March 7, 2026, 2:53 p.m.
NEDg Description generation batch_69ac3d4b32348190883244f2b8af32a0 completed March 7, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac3dbf5c70819084a942fc97a9b50f completed March 7, 2026, 3:01 p.m.
Created at: March 1, 2026, 7:42 p.m.