Triple
T8258143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosmos (soundtrack) |
E193121
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Cosmos
Cosmos is the soundtrack album featuring the music composed for Carl Sagan’s landmark science documentary television series "Cosmos: A Personal Voyage."
|
E721228
|
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: Cosmos | Statement: [Cosmos (soundtrack), title, Cosmos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cosmos Context triple: [Cosmos (soundtrack), title, Cosmos]
-
A.
Cosmos
Cosmos is the vast, orderly universe encompassing all space, time, matter, and energy.
-
B.
Cosmos
Cosmos is a popular science book by astronomer Carl Sagan that explores the origins, structure, and wonders of the universe in an accessible and philosophical way.
-
C.
Cosmos
Cosmos is a decentralized blockchain ecosystem and interoperability protocol designed to enable independent networks to communicate and scale together.
-
D.
Cosmos
Cosmos are twin fairy priestesses in the Godzilla franchise who serve as mystical guardians and spokespersons for the kaiju Mothra.
-
E.
Cosmos
Cosmos is a professional soccer club based in New York, historically famous for attracting global stars like Pelé and popularizing the sport in the United States during the 1970s.
- 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: Cosmos Triple: [Cosmos (soundtrack), title, Cosmos]
Generated description
Cosmos is the soundtrack album featuring the music composed for Carl Sagan’s landmark science documentary television series "Cosmos: A Personal Voyage."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cosmos Target entity description: Cosmos is the soundtrack album featuring the music composed for Carl Sagan’s landmark science documentary television series "Cosmos: A Personal Voyage."
-
A.
Cosmos
Cosmos is the vast, orderly universe encompassing all space, time, matter, and energy.
-
B.
Cosmos
Cosmos is a popular science book by astronomer Carl Sagan that explores the origins, structure, and wonders of the universe in an accessible and philosophical way.
-
C.
Cosmos
Cosmos is a decentralized blockchain ecosystem and interoperability protocol designed to enable independent networks to communicate and scale together.
-
D.
Cosmos
Cosmos are twin fairy priestesses in the Godzilla franchise who serve as mystical guardians and spokespersons for the kaiju Mothra.
-
E.
Cosmos
Cosmos is a professional soccer club based in New York, historically famous for attracting global stars like Pelé and popularizing the sport in the United States during the 1970s.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78fce9308190ac36512e80b06b52 |
completed | March 31, 2026, 7:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd355bef508190894bd01ec39e83f6 |
completed | April 1, 2026, 3:10 p.m. |
| NEDg | Description generation | batch_69cd37a7ea30819094b1c140868fab5f |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4f0055dc8190803a7c412533aec4 |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:49 p.m.