Triple
T10490413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maasai |
E247401
|
entity |
| Predicate | autonym |
P1435
|
FINISHED |
| Object |
ɔl Maa
ɔl Maa is the self-designated name for the Maasai language spoken by the Maasai people of East Africa.
|
E867522
|
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: ɔl Maa | Statement: [Maasai, autonym, ɔl Maa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ɔl Maa Context triple: [Maasai, autonym, ɔl Maa]
-
A.
Amma
Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
-
B.
Amma
Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
-
C.
Sairandhri
Sairandhri is the assumed incognito identity of Draupadi during the Pandavas’ year of exile in the Hindu epic Mahabharata.
-
D.
Madra
Madra was an ancient kingdom in the northwest of the Indian subcontinent, frequently mentioned in the Mahabharata and associated with figures like King Shalya and the Pandava prince Nakula.
-
E.
Sudevi
Sudevi is one of the eight principal gopi companions of Radha and Krishna in Vaishnava tradition, revered for her intimate devotional service in the sacred pastimes of Vrindavan.
- 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: ɔl Maa Triple: [Maasai, autonym, ɔl Maa]
Generated description
ɔl Maa is the self-designated name for the Maasai language spoken by the Maasai people of East Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ɔl Maa Target entity description: ɔl Maa is the self-designated name for the Maasai language spoken by the Maasai people of East Africa.
-
A.
Amma
Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
-
B.
Amma
Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
-
C.
Sairandhri
Sairandhri is the assumed incognito identity of Draupadi during the Pandavas’ year of exile in the Hindu epic Mahabharata.
-
D.
Madra
Madra was an ancient kingdom in the northwest of the Indian subcontinent, frequently mentioned in the Mahabharata and associated with figures like King Shalya and the Pandava prince Nakula.
-
E.
Sudevi
Sudevi is one of the eight principal gopi companions of Radha and Krishna in Vaishnava tradition, revered for her intimate devotional service in the sacred pastimes of Vrindavan.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc9792308190b09d6aaed63dd418 |
completed | April 10, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69d8e8c81bdc8190b6b6dfe00025b514 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:23 p.m.