Triple

T2106605
Position Surface form Disambiguated ID Type / Status
Subject Eino Leino E42408 entity
Predicate givenName P17 FINISHED
Object Armas
Armas is a Finnish given name, notably used as one of the names of the renowned Finnish poet Eino Leino.
 E235038 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: Armas | Statement: [Eino Leino, givenName, Armas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armas
Context triple: [Eino Leino, givenName, Armas]
  • A. Fussilat
    Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
  • B. Aasrud
    Aasrud is a Norwegian surname most notably borne by politician Rigmor Aasrud.
  • C. ARMIR
    ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
  • D. G3 battle rifle
    The G3 battle rifle is a widely used 7.62×51mm NATO select-fire rifle developed in the 1950s and adopted by numerous armed forces around the world.
  • E. FAMAS assault rifle
    The FAMAS assault rifle is a distinctive French bullpup 5.56×45mm NATO service rifle known for its high rate of fire and long use as the standard infantry weapon of France.
  • 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: Armas
Triple: [Eino Leino, givenName, Armas]
Generated description
Armas is a Finnish given name, notably used as one of the names of the renowned Finnish poet Eino Leino.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armas
Target entity description: Armas is a Finnish given name, notably used as one of the names of the renowned Finnish poet Eino Leino.
  • A. Fussilat
    Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
  • B. Aasrud
    Aasrud is a Norwegian surname most notably borne by politician Rigmor Aasrud.
  • C. ARMIR
    ARMIR was the Italian 8th Army deployed on the Eastern Front during World War II, best known for its disastrous defeat alongside German forces in the Soviet Union.
  • D. G3 battle rifle
    The G3 battle rifle is a widely used 7.62×51mm NATO select-fire rifle developed in the 1950s and adopted by numerous armed forces around the world.
  • E. FAMAS assault rifle
    The FAMAS assault rifle is a distinctive French bullpup 5.56×45mm NATO service rifle known for its high rate of fire and long use as the standard infantry weapon of France.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbaddeb148190b728bce7a7b041fb completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306e040081909334f2a70036c26e completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae31722f0081908a4d9d0760af375e completed March 9, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69ae3209e46c81909055a1ee4fccd74d completed March 9, 2026, 2:35 a.m.
Created at: March 4, 2026, 7:43 p.m.