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.