Triple
T16884483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujiwara no Seishi |
E421503
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Seishi
Seishi is a Japanese given name historically borne by figures such as Fujiwara no Seishi, a noblewoman of the Heian period.
|
E1251049
|
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: Seishi | Statement: [Fujiwara no Seishi, givenName, Seishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seishi Context triple: [Fujiwara no Seishi, givenName, Seishi]
-
A.
Shinzei
Shinzei was a prominent Japanese Buddhist monk of the Heian period known for his influential role in the development and propagation of Shingon esoteric teachings.
-
B.
Katsumi
Katsumi is a minor character appearing in the story "Sayonara," contributing to its supporting cast and narrative development.
-
C.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
-
D.
Isami
Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
-
E.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
- 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: Seishi Triple: [Fujiwara no Seishi, givenName, Seishi]
Generated description
Seishi is a Japanese given name historically borne by figures such as Fujiwara no Seishi, a noblewoman of the Heian period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seishi Target entity description: Seishi is a Japanese given name historically borne by figures such as Fujiwara no Seishi, a noblewoman of the Heian period.
-
A.
Shinzei
Shinzei was a prominent Japanese Buddhist monk of the Heian period known for his influential role in the development and propagation of Shingon esoteric teachings.
-
B.
Katsumi
Katsumi is a minor character appearing in the story "Sayonara," contributing to its supporting cast and narrative development.
-
C.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
-
D.
Isami
Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
-
E.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc00cf8819088a08ddb00cd3c96 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e8e5648190bf46245fad7efd77 |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013a9e70c8819081b11ad8db246223 |
completed | May 11, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:29 a.m.