Triple
T3929907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blink-182 |
E93369
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Blink
Blink is the abbreviated name commonly used for Blink-182, the American rock band known for its catchy pop-punk songs and irreverent humor.
|
E405701
|
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: Blink | Statement: [Blink-182, alsoKnownAs, Blink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blink Context triple: [Blink-182, alsoKnownAs, Blink]
-
A.
Blink
Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
-
B.
Blink
Blink is a bestselling nonfiction book by Malcolm Gladwell that explores the power and pitfalls of rapid, intuitive decision-making.
-
C.
Red Eye
Red Eye is a 2005 psychological thriller film in which Cillian Murphy plays a charming but menacing terrorist who coerces a hotel manager during a tense overnight flight.
-
D.
"Don't blink"
"Don't blink" is the iconic warning associated with the Weeping Angels in Doctor Who, urging characters to avoid blinking to escape these predatory creatures.
-
E.
BOLT
BOLT is the Bombay Stock Exchange’s proprietary electronic trading platform used to facilitate fast, automated securities trading in 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: Blink Triple: [Blink-182, alsoKnownAs, Blink]
Generated description
Blink is the abbreviated name commonly used for Blink-182, the American rock band known for its catchy pop-punk songs and irreverent humor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blink Target entity description: Blink is the abbreviated name commonly used for Blink-182, the American rock band known for its catchy pop-punk songs and irreverent humor.
-
A.
Blink
Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
-
B.
Blink
Blink is a bestselling nonfiction book by Malcolm Gladwell that explores the power and pitfalls of rapid, intuitive decision-making.
-
C.
Red Eye
Red Eye is a 2005 psychological thriller film in which Cillian Murphy plays a charming but menacing terrorist who coerces a hotel manager during a tense overnight flight.
-
D.
"Don't blink"
"Don't blink" is the iconic warning associated with the Weeping Angels in Doctor Who, urging characters to avoid blinking to escape these predatory creatures.
-
E.
BOLT
BOLT is the Bombay Stock Exchange’s proprietary electronic trading platform used to facilitate fast, automated securities trading in 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c37594081909a3699bbd4863555 |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b54d06c7c881908b30ba813c009d25 |
completed | March 14, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54d739e588190b23c06b10b4f540e |
completed | March 14, 2026, 11:58 a.m. |
Created at: March 9, 2026, 3:23 p.m.