Triple
T3416854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Antonio Kast |
E72029
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kast
Kast is a Chilean right-wing politician and lawyer known for his conservative views and multiple presidential campaigns.
|
E356714
|
NE FINISHED |
How this triple was built (4 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: Kast | Statement: [José Antonio Kast, familyName, Kast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kast Context triple: [José Antonio Kast, familyName, Kast]
-
A.
Kästa
Kästa is a small locality situated within Botkyrka Municipality in Stockholm County, Sweden.
-
B.
Kubban
Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
-
C.
Karakays
Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
-
D.
Kurast
Kurast is a sprawling, jungle-clad port city and major quest hub in Diablo II, known for its corrupted temples, dense overgrowth, and role as the seat of Mephisto’s influence in the game’s third act.
-
E.
Kasdan
Kasdan is a surname most notably associated with American screenwriter, director, and producer Lawrence Kasdan, known for his work on major films such as "The Empire Strikes Back" and "Raiders of the Lost Ark."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kast Triple: [José Antonio Kast, familyName, Kast]
Generated description
Kast is a Chilean right-wing politician and lawyer known for his conservative views and multiple presidential campaigns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kast Target entity description: Kast is a Chilean right-wing politician and lawyer known for his conservative views and multiple presidential campaigns.
-
A.
Kästa
Kästa is a small locality situated within Botkyrka Municipality in Stockholm County, Sweden.
-
B.
Kubban
Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
-
C.
Karakays
Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
-
D.
Kurast
Kurast is a sprawling, jungle-clad port city and major quest hub in Diablo II, known for its corrupted temples, dense overgrowth, and role as the seat of Mephisto’s influence in the game’s third act.
-
E.
Kasdan
Kasdan is a surname most notably associated with American screenwriter, director, and producer Lawrence Kasdan, known for his work on major films such as "The Empire Strikes Back" and "Raiders of the Lost Ark."
- F. None of above. chosen
Provenance (5 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92c20fc81909b5debced20ec083 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3546c88008190980a51195251af91 |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b355a7dc308190ba8ab0db251592a2 |
completed | March 13, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3566da174819086160cd254e0a443 |
completed | March 13, 2026, 12:12 a.m. |
Created at: March 8, 2026, 3:15 p.m.