Triple
T19595692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Totsakan |
E470341
|
entity |
| Predicate | hasVariantName |
P457
|
FINISHED |
| Object |
Tosakanth
Tosakanth is a giant demon king from the Thai Ramakien epic, adapted from the character Ravana in the Indian Ramayana.
|
E1385945
|
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: Tosakanth | Statement: [Totsakan, hasVariantName, Tosakanth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tosakanth Context triple: [Totsakan, hasVariantName, Tosakanth]
-
A.
Tosora
Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
-
B.
Takanot
Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
-
C.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
D.
Tosiwo
Tosiwo is a given name most notably borne by Tosiwo Nakayama, the first President of the Federated States of Micronesia.
-
E.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
- 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: Tosakanth Triple: [Totsakan, hasVariantName, Tosakanth]
Generated description
Tosakanth is a giant demon king from the Thai Ramakien epic, adapted from the character Ravana in the Indian Ramayana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tosakanth Target entity description: Tosakanth is a giant demon king from the Thai Ramakien epic, adapted from the character Ravana in the Indian Ramayana.
-
A.
Tosora
Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
-
B.
Takanot
Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
-
C.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
D.
Tosiwo
Tosiwo is a given name most notably borne by Tosiwo Nakayama, the first President of the Federated States of Micronesia.
-
E.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407a09608190aa1df92f8c21f9e7 |
completed | April 20, 2026, 3:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771ab9d548190841ef3bce61c3571 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a07728da308819098af49160af0f1e0 |
completed | May 15, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0772e394fc8190b96fe74de6f5fdea |
completed | May 15, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:43 p.m.