Triple
T6128815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Label Media |
E136657
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Everest
Everest is a 2015 survival drama film that chronicles the harrowing true story of a deadly Mount Everest expedition.
|
E577974
|
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: Everest | Statement: [Black Label Media, notableWork, Everest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everest Context triple: [Black Label Media, notableWork, Everest]
-
A.
Everest
Everest is the codename for the high-performance CPU cores used in Apple’s A16 Bionic chip.
-
B.
Mount Everest
Mount Everest is the world's highest mountain above sea level, located in the Himalayas on the border between Nepal and the Tibet Autonomous Region of China.
-
C.
Everes
Everes is a figure in Greek mythology known primarily as the father of the blind prophet Tiresias.
-
D.
Cho Oyu
Cho Oyu is the world’s sixth-highest mountain, an 8,188-meter peak in the Mahalangur Himal section of the Himalayas near the Nepal–China border.
-
E.
Kangchenjunga
Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
- 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: Everest Triple: [Black Label Media, notableWork, Everest]
Generated description
Everest is a 2015 survival drama film that chronicles the harrowing true story of a deadly Mount Everest expedition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Everest Target entity description: Everest is a 2015 survival drama film that chronicles the harrowing true story of a deadly Mount Everest expedition.
-
A.
Everest
Everest is the codename for the high-performance CPU cores used in Apple’s A16 Bionic chip.
-
B.
Mount Everest
Mount Everest is the world's highest mountain above sea level, located in the Himalayas on the border between Nepal and the Tibet Autonomous Region of China.
-
C.
Everes
Everes is a figure in Greek mythology known primarily as the father of the blind prophet Tiresias.
-
D.
Cho Oyu
Cho Oyu is the world’s sixth-highest mountain, an 8,188-meter peak in the Mahalangur Himal section of the Himalayas near the Nepal–China border.
-
E.
Kangchenjunga
Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4b1df081908dc87fa1c45a43bf |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d5f60848190bd75dfefa27b3315 |
completed | March 24, 2026, 4:04 a.m. |
| NEDg | Description generation | batch_69c2130606dc8190a1b26001ad72cd88 |
completed | March 24, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2138541608190a3ea346ff23974a3 |
completed | March 24, 2026, 4:31 a.m. |
Created at: March 22, 2026, 4:15 p.m.