Triple
T19103100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sachi Devi |
E467583
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object |
Mother Sachi
Mother Sachi is the revered mother of Sri Chaitanya Mahaprabhu, honored in Gaudiya Vaishnavism for her piety and devotion.
|
E1358544
|
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: Mother Sachi | Statement: [Sachi Devi, honorificTitle, Mother Sachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mother Sachi Context triple: [Sachi Devi, honorificTitle, Mother Sachi]
-
A.
Nanisca
Nanisca is a fierce and strategic general of the all-female Agojie warriors in the historical epic film "The Woman King."
-
B.
Shenako
Shenako is a remote mountain village in Georgia’s historic Tusheti region, known for its traditional stone architecture and preserved highland culture.
-
C.
Kaguya
Kaguya is a Japanese lunar orbiter mission by JAXA that conducted detailed mapping and scientific investigation of the Moon’s surface and gravitational field.
-
D.
Mami Tomoe
Mami Tomoe is a veteran magical girl in the anime series "Puella Magi Madoka Magica," known for her elegant fighting style with summoned muskets and her role as a mentor figure to the other protagonists.
-
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: Mother Sachi Triple: [Sachi Devi, honorificTitle, Mother Sachi]
Generated description
Mother Sachi is the revered mother of Sri Chaitanya Mahaprabhu, honored in Gaudiya Vaishnavism for her piety and devotion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mother Sachi Target entity description: Mother Sachi is the revered mother of Sri Chaitanya Mahaprabhu, honored in Gaudiya Vaishnavism for her piety and devotion.
-
A.
Nanisca
Nanisca is a fierce and strategic general of the all-female Agojie warriors in the historical epic film "The Woman King."
-
B.
Shenako
Shenako is a remote mountain village in Georgia’s historic Tusheti region, known for its traditional stone architecture and preserved highland culture.
-
C.
Kaguya
Kaguya is a Japanese lunar orbiter mission by JAXA that conducted detailed mapping and scientific investigation of the Moon’s surface and gravitational field.
-
D.
Mami Tomoe
Mami Tomoe is a veteran magical girl in the anime series "Puella Magi Madoka Magica," known for her elegant fighting style with summoned muskets and her role as a mentor figure to the other protagonists.
-
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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36f84048190a62c52411eb55411 |
completed | April 20, 2026, 8:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd9dae4c8190ae5950a27ac670cb |
completed | May 14, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_6a05e0a88664819083e3385c1cc5db34 |
completed | May 14, 2026, 2:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e12912e4819089dfef296b0f8980 |
completed | May 14, 2026, 2:50 p.m. |
Created at: April 10, 2026, 12:04 p.m.