Triple
T16311127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beretitenti |
E396056
|
entity |
| Predicate | firstOfficeHolder |
P4891
|
FINISHED |
| Object | Ieremia Tabai |
E396055
|
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: Ieremia Tabai | Statement: [Beretitenti, firstOfficeHolder, Ieremia Tabai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ieremia Tabai Context triple: [Beretitenti, firstOfficeHolder, Ieremia Tabai]
-
A.
Ieremia Tabai
chosen
Ieremia Tabai is a Kiribati politician who became the country's first president and one of the youngest heads of state in the world at the time of his election.
-
B.
Latu Fifita
Latu Fifita is a rugby league footballer known for his professional career in the sport and as a member of the prominent Fifita rugby league family.
-
C.
Cecil Lolohea
Cecil Lolohea is an individual notable enough to be recognized as a prominent bearer of the given name Cecil.
-
D.
Sione Tuita
Sione Tuita is a Tongan political figure who has served as Prime Minister of the Kingdom of Tonga.
-
E.
Sione Tupou Mateialona
Sione Tupou Mateialona was a Tongan political leader who served as the country’s prime minister.
- 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_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_6a0026044a5881908773e286fb1a6e3e |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.