Triple

T17258779
Position Surface form Disambiguated ID Type / Status
Subject Ro.37 Lince E418953 entity
Predicate manufacturer P490 FINISHED
Object IMAM
IMAM was an Italian aircraft manufacturer active in the early to mid-20th century, known for producing military aircraft for the Regia Aeronautica.
E1259501 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: IMAM | Statement: [Ro.37 Lince, manufacturer, IMAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IMAM
Context triple: [Ro.37 Lince, manufacturer, IMAM]
  • A. Imam
    An Imam is a religious leader in Islam who leads prayers and often provides spiritual guidance to the Muslim community.
  • B. Imam Muslim
    Imam Muslim was a renowned 9th-century Persian Islamic scholar best known as the compiler of Sahih Muslim, one of the most authoritative collections of hadith in Sunni Islam.
  • C. Imam Sahib
    Imam Sahib is a town in northern Afghanistan’s Kunduz Province, known as an important local commercial and administrative center near the border with Tajikistan.
  • D. Iman
    Iman is a Jordanian princess and member of the Hashemite royal family, known as the daughter of the late King Hussein of Jordan and Queen Noor.
  • E. Iman
    Iman is a Somali-born supermodel, actress, and entrepreneur renowned for her pioneering role in the fashion industry and her influential cosmetics line.
  • 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: IMAM
Triple: [Ro.37 Lince, manufacturer, IMAM]
Generated description
IMAM was an Italian aircraft manufacturer active in the early to mid-20th century, known for producing military aircraft for the Regia Aeronautica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IMAM
Target entity description: IMAM was an Italian aircraft manufacturer active in the early to mid-20th century, known for producing military aircraft for the Regia Aeronautica.
  • A. Imam
    An Imam is a religious leader in Islam who leads prayers and often provides spiritual guidance to the Muslim community.
  • B. Imam Muslim
    Imam Muslim was a renowned 9th-century Persian Islamic scholar best known as the compiler of Sahih Muslim, one of the most authoritative collections of hadith in Sunni Islam.
  • C. Imam Sahib
    Imam Sahib is a town in northern Afghanistan’s Kunduz Province, known as an important local commercial and administrative center near the border with Tajikistan.
  • D. Iman
    Iman is a Jordanian princess and member of the Hashemite royal family, known as the daughter of the late King Hussein of Jordan and Queen Noor.
  • E. Iman
    Iman is a Somali-born supermodel, actress, and entrepreneur renowned for her pioneering role in the fashion industry and her influential cosmetics line.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ea7588190a94d222504a8cef5 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ff6818819090077dc4a7b774ae completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017521c90c819099cea67e4084aa67 completed May 11, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_6a01760409ac8190ac7714e31e686d9a completed May 11, 2026, 6:24 a.m.
Created at: April 10, 2026, 5:39 a.m.