Triple
T932921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devi |
E20132
|
entity |
| Predicate | worshippedAs |
P8132
|
FINISHED |
| Object | Universal Mother |
E77587
|
NE FINISHED |
How this triple was built (2 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: Universal Mother | Statement: [Devi, worshippedAs, Universal Mother]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Universal Mother Context triple: [Devi, worshippedAs, Universal Mother]
-
A.
Great Mother
chosen
Great Mother is an epithet of Gaia that emphasizes her role as the primordial earth goddess and universal mother figure in Greek mythology.
-
B.
Virgin Unite
Virgin Unite is the entrepreneurial foundation of the Virgin Group, created by Richard Branson to support innovative solutions to social and environmental challenges worldwide.
-
C.
Abemama
Abemama is a central Pacific atoll in the island nation of Kiribati, known for its lagoon, traditional villages, and role in the country’s colonial and wartime history.
-
D.
Bachelor Mother
Bachelor Mother is a 1939 romantic comedy film starring Ginger Rogers as a salesgirl who is mistakenly believed to be the mother of an abandoned baby.
-
E.
Mam
Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b34c457c819085cbfa0c798cb4c6 |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee12da388190a26f0f7944d6f5f8 |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:40 p.m.