Triple
T18418883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elpidia Carrillo |
E441967
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Border |
—
|
NE NERFINISHED |
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: The Border | Statement: [Elpidia Carrillo, notableWork, The Border]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Border Context triple: [Elpidia Carrillo, notableWork, The Border]
-
A.
The Border
chosen
The Border is a 1982 crime drama film starring Jack Nicholson as a corrupt U.S. Border Patrol agent confronting moral dilemmas along the U.S.–Mexico border.
-
B.
The Border
The Border is a Finnish historical drama film scored by composer Tuomas Kantelinen, set in the turbulent aftermath of the Finnish Civil War.
-
C.
La Frontera
La Frontera is the historical frontier region in southern Chile that was the site of prolonged conflict and cultural interaction between Spanish colonizers and the indigenous Mapuche people.
-
D.
كتاب الحدود
كتاب الحدود هو مؤلَّف إسلامي كلاسيكي يتناول أحكام الحدود والعقوبات الشرعية في الفقه الإسلامي.
-
E.
Fronteira
Fronteira is a small Portuguese municipality in the Alentejo region, known for its rural landscape and historical heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2a0fb08190b409ed200a9d86a6 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.