Triple
T17708729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomasi Puapua |
E441503
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Nanumanga |
—
|
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: Nanumanga | Statement: [Tomasi Puapua, placeOfBirth, Nanumanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanumanga Context triple: [Tomasi Puapua, placeOfBirth, Nanumanga]
-
A.
Nanumanga
chosen
Nanumanga is a small coral atoll and one of the islands of the Pacific island nation of Tuvalu.
-
B.
Mangini
Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
-
C.
Mangano
Mangano is an Italian surname most famously associated with actress Silvana Mangano, a prominent figure in mid-20th-century Italian cinema.
-
D.
Munja
Munja, also known as Vakpati Munja, was a prominent 10th-century Paramara king of Malwa celebrated for his military campaigns, patronage of learning, and contributions to early medieval Indian culture.
-
E.
Manganiyar
The Manganiyar are a hereditary community of Muslim folk musicians from Rajasthan and Sindh, renowned for their rich oral tradition, devotional and celebratory songs, and distinctive use of instruments like the kamaicha and dholak.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47299cd7881908aac13b84acb61f7 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.