Triple
T19782554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manu Temple |
E475173
|
entity |
| Predicate | associatedWithDeity |
P1481
|
FINISHED |
| Object | Manu |
—
|
NE NERFINISHED |
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: Manu | Statement: [Manu Temple, associatedWithDeity, Manu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manu Context triple: [Manu Temple, associatedWithDeity, Manu]
-
A.
Manu
chosen
Manu is the primordial man and first human lawgiver in Hindu tradition, often regarded as the progenitor of humanity and author of the ancient legal text Manusmriti.
-
B.
Manu
Manu is the widely used nickname of Argentine basketball legend Manu Ginóbili, a Hall of Fame guard best known for his championship-winning career with the San Antonio Spurs.
-
C.
MANU
MANU is the acronym for the Macedonian Academy of Sciences and Arts, the leading national institution for scientific and artistic research in North Macedonia.
-
D.
Gualaceo
Gualaceo is a picturesque town in southern Ecuador known for its traditional crafts, markets, and riverside scenery.
-
E.
Yaguajay
Yaguajay is a town and municipality in central Cuba known for its historic role in the Cuban Revolution, particularly the Battle of Yaguajay.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653852e848190b8971981a164e8f9 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.