Triple
T15712412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makeatutara |
E380870
|
entity |
| Predicate | hasOffspring |
P6882
|
FINISHED |
| Object | Māui |
E1176395
|
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: Māui | Statement: [Makeatutara, hasOffspring, Māui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Māui Context triple: [Makeatutara, hasOffspring, Māui]
-
A.
Māui (Polynesian demigod)
Māui is a celebrated Polynesian culture hero and trickster demigod known for feats such as fishing up islands, slowing the sun, and bringing fire to humanity.
-
B.
Māui-taha
Māui-taha is one of the lesser-known brothers of the Polynesian culture hero Māui, appearing in various Māori and Polynesian traditions.
-
C.
Māui-tikitiki-a-Taranga
chosen
Māui-tikitiki-a-Taranga is a famed Polynesian demigod and cultural hero known for feats such as fishing up islands and slowing the sun.
-
D.
Hotu Matuʻa
Hotu Matuʻa is the legendary founding king and first settler of Rapa Nui (Easter Island) in Polynesian tradition.
-
E.
Rongo
Rongo is a major Polynesian deity commonly associated with cultivated food, especially sweet potatoes, as well as peace and agriculture.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa12713588190a888d6f6dd4290e1 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.