Triple
T15148731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arichis II of Benevento |
E361881
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Arichis
Arichis was a Lombard nobleman best known as Arichis II, Duke of Benevento in the 8th century.
|
E1389132
|
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: Arichis | Statement: [Arichis II of Benevento, givenName, Arichis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arichis Context triple: [Arichis II of Benevento, givenName, Arichis]
-
A.
Urakami
Urakami is a historic district of Nagasaki, Japan, known notably as the area devastated by the atomic bombing during World War II and for its prominent Catholic heritage.
-
B.
Ichinomiya
Ichinomiya is a city in Aichi Prefecture, Japan, known historically as a textile and commercial center within the Nagoya metropolitan area.
-
C.
Sakado
Sakado is a city in Saitama Prefecture, Japan, known as a residential and educational hub within the Greater Tokyo area.
-
D.
Ashiya
Ashiya is an affluent coastal city in Japan’s Hyōgo Prefecture, known for its upscale residential neighborhoods and proximity to both Kobe and Osaka.
-
E.
Okachimachi
Okachimachi is a bustling commercial and shopping district in Tokyo known for its discount stores, jewelry shops, and proximity to Ueno.
- 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: Arichis Triple: [Arichis II of Benevento, givenName, Arichis]
Generated description
Arichis was a Lombard nobleman best known as Arichis II, Duke of Benevento in the 8th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arichis Target entity description: Arichis was a Lombard nobleman best known as Arichis II, Duke of Benevento in the 8th century.
-
A.
Urakami
Urakami is a historic district of Nagasaki, Japan, known notably as the area devastated by the atomic bombing during World War II and for its prominent Catholic heritage.
-
B.
Ichinomiya
Ichinomiya is a city in Aichi Prefecture, Japan, known historically as a textile and commercial center within the Nagoya metropolitan area.
-
C.
Sakado
Sakado is a city in Saitama Prefecture, Japan, known as a residential and educational hub within the Greater Tokyo area.
-
D.
Ashiya
Ashiya is an affluent coastal city in Japan’s Hyōgo Prefecture, known for its upscale residential neighborhoods and proximity to both Kobe and Osaka.
-
E.
Okachimachi
Okachimachi is a bustling commercial and shopping district in Tokyo known for its discount stores, jewelry shops, and proximity to Ueno.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c934048190afac78a8023a544a |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787a179d8819087a885c6864498f3 |
completed | May 15, 2026, 8:52 p.m. |
| NEDg | Description generation | batch_6a079032e8b48190b9c2ab601713f94a |
completed | May 15, 2026, 9:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07908eb4c08190b112fa48e0892fe7 |
completed | May 15, 2026, 9:30 p.m. |
Created at: April 10, 2026, 3:07 a.m.