Triple
T13032197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarita Teriipaia |
E326467
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tarita Teriipaia |
E326467
|
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: Tarita Teriipaia | Statement: [Tarita Teriipaia, name, Tarita Teriipaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarita Teriipaia Context triple: [Tarita Teriipaia, name, Tarita Teriipaia]
-
A.
Tarita Teriipaia
chosen
Tarita Teriipaia is a French Polynesian actress best known for her role in "Mutiny on the Bounty" and her long-term relationship with Marlon Brando.
-
B.
Taru Hatakka
Taru Hatakka is a Finnish individual known primarily as a relative of diplomat and politician Taneli Kekkonen, a member of the prominent Kekkonen family.
-
C.
Tupuola Taisi Efi
Tupuola Taisi Efi is a Samoan statesman, academic, and writer who has served as both Prime Minister and later Head of State of Samoa.
-
D.
Liana Kangas
Liana Kangas is a comic book artist and writer known for her work on independent and creator-owned titles in the contemporary comics scene.
-
E.
Edrisa Tanaka
Edrisa Tanaka is a quirky, enthusiastic medical examiner on the TV series "Prodigal Son," known for her darkly comic fascination with death and crime scenes.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efe72348190b52fb4068f5fb829 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbcd25108190a6c4a129cde81534 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:54 p.m.