Triple
T575800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blink |
E13758
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object |
Blisk
Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
|
E72101
|
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: Blisk | Statement: [Blink, usedIn, Blisk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blisk Context triple: [Blink, usedIn, Blisk]
-
A.
Blix
Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
-
B.
The Corsair
The Corsair is a popular narrative poem by Lord Byron, first published in 1814, that tells the romantic and adventurous tale of a pirate hero and became a major literary sensation of its time.
-
C.
Zułów
Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
-
D.
Kraftt
Kraftt is an alternative or variant form of the name "Kraft," likely referring to the same or a closely related entity, such as the well-known food brand or surname.
-
E.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
- 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: Blisk Triple: [Blink, usedIn, Blisk]
Generated description
Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blisk Target entity description: Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
-
A.
Blix
Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
-
B.
The Corsair
The Corsair is a popular narrative poem by Lord Byron, first published in 1814, that tells the romantic and adventurous tale of a pirate hero and became a major literary sensation of its time.
-
C.
Zułów
Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
-
D.
Kraftt
Kraftt is an alternative or variant form of the name "Kraft," likely referring to the same or a closely related entity, such as the well-known food brand or surname.
-
E.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b67395c8190a8046ff7debe9d1f |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ff4db0248190b2b3ca0290467313 |
completed | March 2, 2026, 3:09 a.m. |
| NEDg | Description generation | batch_69a500891de4819086b4599fb4ee328c |
completed | March 2, 2026, 3:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5010c65a881908cce2e1a3d9f158d |
completed | March 2, 2026, 3:16 a.m. |
Created at: March 1, 2026, 7:33 p.m.