Triple
T14703460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moana Waialiki |
E345364
|
entity |
| Predicate | nationality |
P2
|
FINISHED |
| Object |
Motunui
Motunui is the fictional Polynesian island homeland of Moana in Disney's animated film "Moana."
|
E1115780
|
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: Motunui | Statement: [Moana Waialiki, nationality, Motunui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motunui Context triple: [Moana Waialiki, nationality, Motunui]
-
A.
Mijas
Mijas is a picturesque municipality in the province of Málaga in southern Spain, known for its whitewashed village, coastal resorts, and location along the Costa del Sol.
-
B.
Monjo
Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
-
C.
Mottama
Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the region.
-
D.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
E.
Mokuola
Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
- 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: Motunui Triple: [Moana Waialiki, nationality, Motunui]
Generated description
Motunui is the fictional Polynesian island homeland of Moana in Disney's animated film "Moana."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Motunui Target entity description: Motunui is the fictional Polynesian island homeland of Moana in Disney's animated film "Moana."
-
A.
Mijas
Mijas is a picturesque municipality in the province of Málaga in southern Spain, known for its whitewashed village, coastal resorts, and location along the Costa del Sol.
-
B.
Monjo
Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
-
C.
Mottama
Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the region.
-
D.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
E.
Mokuola
Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0861c308190af0b5da403ecb321 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf368782c8190825247435eab2045 |
completed | May 8, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf3fe50ac8190ad5529427472eda3 |
completed | May 8, 2026, 2:32 p.m. |
Created at: April 10, 2026, 1:28 a.m.