Triple
T8645017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanamahism |
E204751
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object |
Umang Lai
Umang Lai are forest deities in the Meitei religion of Sanamahism, revered as guardians of sacred groves and natural spaces in Manipur.
|
E747894
|
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: Umang Lai | Statement: [Sanamahism, hasDeity, Umang Lai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umang Lai Context triple: [Sanamahism, hasDeity, Umang Lai]
-
A.
Umka
Umka is a suburban settlement of Belgrade, Serbia, situated within the municipality of Čukarica along the right bank of the Sava River.
-
B.
Yumani
Yumani is a small lakeside village on Bolivia’s Isla del Sol, known as a main gateway for visitors and for its scenic views over Lake Titicaca.
-
C.
Santoor
Santoor is a popular Indian personal care brand best known for its sandalwood and turmeric-based bathing soaps.
-
D.
Shila Ommi
Shila Ommi is an Iranian-American actress known for her film, television, and voice roles, including work in major animated features.
-
E.
Gaghan
Gaghan is the surname of Stephen Gaghan, an American screenwriter and director known for works like "Traffic" and "Syriana."
- 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: Umang Lai Triple: [Sanamahism, hasDeity, Umang Lai]
Generated description
Umang Lai are forest deities in the Meitei religion of Sanamahism, revered as guardians of sacred groves and natural spaces in Manipur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Umang Lai Target entity description: Umang Lai are forest deities in the Meitei religion of Sanamahism, revered as guardians of sacred groves and natural spaces in Manipur.
-
A.
Umka
Umka is a suburban settlement of Belgrade, Serbia, situated within the municipality of Čukarica along the right bank of the Sava River.
-
B.
Yumani
Yumani is a small lakeside village on Bolivia’s Isla del Sol, known as a main gateway for visitors and for its scenic views over Lake Titicaca.
-
C.
Santoor
Santoor is a popular Indian personal care brand best known for its sandalwood and turmeric-based bathing soaps.
-
D.
Shila Ommi
Shila Ommi is an Iranian-American actress known for her film, television, and voice roles, including work in major animated features.
-
E.
Gaghan
Gaghan is the surname of Stephen Gaghan, an American screenwriter and director known for works like "Traffic" and "Syriana."
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc479999c881908c0c4e01c07d02d4 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc42922c819099a464d2e347dec4 |
completed | April 2, 2026, 6:58 p.m. |
| NEDg | Description generation | batch_69cec03fa5dc8190bbfe40aa1a3b27c1 |
completed | April 2, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cec0cac51c8190962a23d53c1fb48b |
completed | April 2, 2026, 7:17 p.m. |
Created at: March 30, 2026, 6:28 p.m.