Triple
T3529736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorian Sagan |
E74628
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Into the Cool
Into the Cool is a popular science book that explores the role of thermodynamics and energy flow in shaping life and complex systems.
|
E365796
|
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: Into the Cool | Statement: [Dorian Sagan, notableWork, Into the Cool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Into the Cool Context triple: [Dorian Sagan, notableWork, Into the Cool]
-
A.
The Cool
The Cool is Lupe Fiasco’s critically acclaimed second studio album, known for its intricate storytelling, conceptual depth, and socially conscious lyricism.
-
B.
Into the Sun
"Into the Sun" is a song by American indie folk band Lord Huron, known for their atmospheric, cinematic sound and storytelling lyrics.
-
C.
Stay Cool
"Stay Cool" is a song featured on the 2004 album *The Tipping Point* by British soul and R&B band The Roots.
-
D.
Into the Blue
Into the Blue is a 2005 action-thriller film about a group of divers who discover a sunken plane full of drugs, starring Paul Walker and Jessica Alba.
-
E.
Come Through and Chill
"Come Through and Chill" is a smooth, laid-back R&B track by Miguel featuring J. Cole and Salaam Remi, known for its sensual vibe and mellow production.
- 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: Into the Cool Triple: [Dorian Sagan, notableWork, Into the Cool]
Generated description
Into the Cool is a popular science book that explores the role of thermodynamics and energy flow in shaping life and complex systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Into the Cool Target entity description: Into the Cool is a popular science book that explores the role of thermodynamics and energy flow in shaping life and complex systems.
-
A.
The Cool
The Cool is Lupe Fiasco’s critically acclaimed second studio album, known for its intricate storytelling, conceptual depth, and socially conscious lyricism.
-
B.
Into the Sun
"Into the Sun" is a song by American indie folk band Lord Huron, known for their atmospheric, cinematic sound and storytelling lyrics.
-
C.
Stay Cool
"Stay Cool" is a song featured on the 2004 album *The Tipping Point* by British soul and R&B band The Roots.
-
D.
Into the Blue
Into the Blue is a 2005 action-thriller film about a group of divers who discover a sunken plane full of drugs, starring Paul Walker and Jessica Alba.
-
E.
Come Through and Chill
"Come Through and Chill" is a smooth, laid-back R&B track by Miguel featuring J. Cole and Salaam Remi, known for its sensual vibe and mellow production.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc9764a881908aa8d25dc9adf59e |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e93c1988190a9ab7698bf63e8e6 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b380a6b6ec8190be0741cb9535b650 |
completed | March 13, 2026, 3:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3812927e48190a84f3c7fa55d070a |
completed | March 13, 2026, 3:14 a.m. |
Created at: March 8, 2026, 3:19 p.m.