Triple
T16310990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taneti Maamau |
E396053
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Maamau
Maamau is the surname of Taneti Maamau, the President of Kiribati known for his leadership of the Pacific island nation.
|
E1206359
|
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: Maamau | Statement: [Taneti Maamau, familyName, Maamau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maamau Context triple: [Taneti Maamau, familyName, Maamau]
-
A.
Puamau
Puamau is a small coastal village on the island of Hiva Oa in the Marquesas Islands of French Polynesia, known for its significant archaeological sites and traditional Polynesian culture.
-
B.
Mauga Vaea
Mauga Vaea is a notable mountain in Samoa best known as the burial place of Scottish author Robert Louis Stevenson.
-
C.
Kamaka
Kamaka is a small, remote island in the Gambier Islands of French Polynesia, known for its rugged terrain and sparse habitation.
-
D.
Māhune
Māhune was a Native Hawaiian woman of chiefly lineage, known primarily as the daughter of high chiefess Laura Kōnia and thus a member of the Hawaiian aliʻi (nobility).
-
E.
Tavewa
Tavewa is a small island in Fiji’s Yasawa archipelago, known for its beaches, snorkeling, and backpacker-friendly resorts.
- 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: Maamau Triple: [Taneti Maamau, familyName, Maamau]
Generated description
Maamau is the surname of Taneti Maamau, the President of Kiribati known for his leadership of the Pacific island nation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maamau Target entity description: Maamau is the surname of Taneti Maamau, the President of Kiribati known for his leadership of the Pacific island nation.
-
A.
Puamau
Puamau is a small coastal village on the island of Hiva Oa in the Marquesas Islands of French Polynesia, known for its significant archaeological sites and traditional Polynesian culture.
-
B.
Mauga Vaea
Mauga Vaea is a notable mountain in Samoa best known as the burial place of Scottish author Robert Louis Stevenson.
-
C.
Kamaka
Kamaka is a small, remote island in the Gambier Islands of French Polynesia, known for its rugged terrain and sparse habitation.
-
D.
Māhune
Māhune was a Native Hawaiian woman of chiefly lineage, known primarily as the daughter of high chiefess Laura Kōnia and thus a member of the Hawaiian aliʻi (nobility).
-
E.
Tavewa
Tavewa is a small island in Fiji’s Yasawa archipelago, known for its beaches, snorkeling, and backpacker-friendly resorts.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288da27f88190aa241e3addf9cd7f |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa6ceb48190b937a15b94fd3cfa |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a00219696dc8190bcce66c1eeb07561 |
completed | May 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002221fe7c819083c8ede5e63b0908 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:06 a.m.