Triple
T15634829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulpii family |
E375913
|
entity |
| Predicate | relatedFamily |
P566
|
FINISHED |
| Object |
Aelii
The Aelii were an ancient Roman family (gens Aelia) that produced several notable politicians and emperors, including Hadrian.
|
E1168073
|
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: Aelii | Statement: [Ulpii family, relatedFamily, Aelii]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aelii Context triple: [Ulpii family, relatedFamily, Aelii]
-
A.
Aezani
Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
-
B.
Eliossana
Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
-
C.
Aylett
Aylett is an English-language surname borne by various individuals, including historical and contemporary figures.
-
D.
Celaenae
Celaenae was an important ancient city of Phrygia in Asia Minor, known as a strategic and commercial center near the sources of the Maeander River.
-
E.
Lyari
Lyari is one of the oldest and most densely populated neighborhoods of Karachi, Pakistan, known for its vibrant working-class culture and complex socio-political history.
- 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: Aelii Triple: [Ulpii family, relatedFamily, Aelii]
Generated description
The Aelii were an ancient Roman family (gens Aelia) that produced several notable politicians and emperors, including Hadrian.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aelii Target entity description: The Aelii were an ancient Roman family (gens Aelia) that produced several notable politicians and emperors, including Hadrian.
-
A.
Aezani
Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
-
B.
Eliossana
Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
-
C.
Aylett
Aylett is an English-language surname borne by various individuals, including historical and contemporary figures.
-
D.
Celaenae
Celaenae was an important ancient city of Phrygia in Asia Minor, known as a strategic and commercial center near the sources of the Maeander River.
-
E.
Lyari
Lyari is one of the oldest and most densely populated neighborhoods of Karachi, Pakistan, known for its vibrant working-class culture and complex socio-political history.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb8b4c48190b80fea6877483089 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f472b648190b7cd532a1b16373e |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff606f627081909e6ea230f30c917b |
completed | May 9, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6136a8c88190a83ad9232a338082 |
completed | May 9, 2026, 4:30 p.m. |
Created at: April 10, 2026, 4:14 a.m.