Triple
T7888137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Taikon |
E183155
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Taikon
Taikon is a Romani Swedish family name most prominently associated with activist and silversmith Rosa Taikon and her relatives.
|
E701276
|
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: Taikon | Statement: [Rosa Taikon, familyName, Taikon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taikon Context triple: [Rosa Taikon, familyName, Taikon]
-
A.
Katano
Katano is a city in Osaka Prefecture, Japan, known for its residential suburbs and proximity to the Osaka metropolitan area.
-
B.
Okimi
Okimi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
-
C.
Fusumi no Okami
Fusumi no Okami is a Shinto deity venerated at Kumano Nachi Taisha, associated with the sacred natural and spiritual landscape of the Kumano region in Japan.
-
D.
Takadanobaba
Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
-
E.
Kato Zakros
Kato Zakros is a coastal village and archaeological site on the eastern coast of Crete, known for the remains of a significant Minoan palace complex.
- 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: Taikon Triple: [Rosa Taikon, familyName, Taikon]
Generated description
Taikon is a Romani Swedish family name most prominently associated with activist and silversmith Rosa Taikon and her relatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taikon Target entity description: Taikon is a Romani Swedish family name most prominently associated with activist and silversmith Rosa Taikon and her relatives.
-
A.
Katano
Katano is a city in Osaka Prefecture, Japan, known for its residential suburbs and proximity to the Osaka metropolitan area.
-
B.
Okimi
Okimi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
-
C.
Fusumi no Okami
Fusumi no Okami is a Shinto deity venerated at Kumano Nachi Taisha, associated with the sacred natural and spiritual landscape of the Kumano region in Japan.
-
D.
Takadanobaba
Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
-
E.
Kato Zakros
Kato Zakros is a coastal village and archaeological site on the eastern coast of Crete, known for the remains of a significant Minoan palace complex.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ea8d1c81908ef99569e0cf00b7 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b98f9b88190b25b5c23a9ae9ced |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7631d10881908e3c7dacb98520cd |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf847f3c819092d690d8d65f6d60 |
completed | March 31, 2026, 12:35 p.m. |
Created at: March 30, 2026, 4:59 p.m.