Triple
T11176868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wellington Hurricanes |
E264433
|
entity |
| Predicate | notableFormerPlayer |
P304
|
FINISHED |
| Object | Ma'a Nonu |
E856743
|
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: Ma'a Nonu | Statement: [Wellington Hurricanes, notableFormerPlayer, Ma'a Nonu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ma'a Nonu Context triple: [Wellington Hurricanes, notableFormerPlayer, Ma'a Nonu]
-
A.
Ma'a Nonu
chosen
Ma'a Nonu is a powerful New Zealand rugby union centre renowned for his long and successful career with the All Blacks and in Super Rugby.
-
B.
Cecil Lolohea
Cecil Lolohea is an individual notable enough to be recognized as a prominent bearer of the given name Cecil.
-
C.
Ieremia Tabai
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.
-
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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4838f19388190af6fde7d4275ce2a |
completed | April 19, 2026, 7:26 a.m. |
Created at: April 8, 2026, 9:29 p.m.