Triple
T12869858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Kortajarena |
E307819
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kortajarena |
E307819
|
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: Kortajarena | Statement: [Jon Kortajarena, familyName, Kortajarena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kortajarena Context triple: [Jon Kortajarena, familyName, Kortajarena]
-
A.
Kortajarena
chosen
Kortajarena is the surname of Spanish model and actor Jon Kortajarena, known internationally for his work in high fashion and film.
-
B.
Larena
Larena is a coastal municipality on Siquijor Island in the Philippines known historically as a key commercial and educational center of the province.
-
C.
Reitaisai
Reitaisai is a major annual Shinto festival held at Tsurugaoka Hachimangū Shrine in Kamakura, Japan, featuring traditional rituals and events such as horseback archery.
-
D.
Arenas
Arenas is a Spanish-origin surname most notably associated with former NBA All-Star basketball player Gilbert Arenas.
-
E.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970905784819091631161a9de98c5 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb4b28c8190a4ec9cad4e1e0f05 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.