Triple
T6185056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manide |
E138034
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Manide Agta
Manide Agta is an indigenous Negrito group in the Philippines known for its distinct language and traditional hunter-gatherer culture.
|
E574315
|
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: Manide Agta | Statement: [Manide, hasAlternativeName, Manide Agta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manide Agta Context triple: [Manide, hasAlternativeName, Manide Agta]
-
A.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
B.
Datooga
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
-
C.
Martaban
Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
-
D.
Barka Kunama
Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
-
E.
Sinjar
Sinjar is a town and surrounding region in northwestern Iraq known as the historic heartland of the Yazidi community and the site of severe ISIS-perpetrated atrocities.
- 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: Manide Agta Triple: [Manide, hasAlternativeName, Manide Agta]
Generated description
Manide Agta is an indigenous Negrito group in the Philippines known for its distinct language and traditional hunter-gatherer culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manide Agta Target entity description: Manide Agta is an indigenous Negrito group in the Philippines known for its distinct language and traditional hunter-gatherer culture.
-
A.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
B.
Datooga
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
-
C.
Martaban
Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
-
D.
Barka Kunama
Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
-
E.
Sinjar
Sinjar is a town and surrounding region in northwestern Iraq known as the historic heartland of the Yazidi community and the site of severe ISIS-perpetrated atrocities.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062150fc48190877240abe6b6c636 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141c6b5888190983bff620c7663cc |
completed | March 23, 2026, 1:36 p.m. |
| NEDg | Description generation | batch_69c1472997d081909266b0e64fdbfe96 |
completed | March 23, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c147b5214c819082c20480965842be |
completed | March 23, 2026, 2:01 p.m. |
Created at: March 22, 2026, 4:19 p.m.