Triple
T6292125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Future |
E141041
|
entity |
| Predicate | studioAlbum |
P25507
|
FINISHED |
| Object |
Honest
"Honest" is the second studio album by American rapper Future, showcasing his blend of melodic trap and introspective lyricism.
|
E582047
|
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: Honest | Statement: [Future, studioAlbum, Honest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honest Context triple: [Future, studioAlbum, Honest]
-
A.
Honest
"Honest" is a 2017 electronic pop song by American DJ duo The Chainsmokers, known for its introspective lyrics about fame, relationships, and emotional vulnerability.
-
B.
Truthfully
"Truthfully" is a song featured on Justin Bieber's debut studio album "My World 2.0."
-
C.
Honest with Me
"Honest with Me" is a country song by the American duo Love and Theft, featured on one of their studio albums.
-
D.
Trusty
Trusty is the elderly, good-natured bloodhound in Disney’s *Lady and the Tramp* known for his loyalty, Southern drawl, and fading sense of smell.
-
E.
Truth and Truthfulness
Truth and Truthfulness is a philosophical work by Bernard Williams that examines the nature, value, and ethical significance of truth in human life and society.
- 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: Honest Triple: [Future, studioAlbum, Honest]
Generated description
"Honest" is the second studio album by American rapper Future, showcasing his blend of melodic trap and introspective lyricism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Honest Target entity description: "Honest" is the second studio album by American rapper Future, showcasing his blend of melodic trap and introspective lyricism.
-
A.
Honest
"Honest" is a 2017 electronic pop song by American DJ duo The Chainsmokers, known for its introspective lyrics about fame, relationships, and emotional vulnerability.
-
B.
Truthfully
"Truthfully" is a song featured on Justin Bieber's debut studio album "My World 2.0."
-
C.
Honest with Me
"Honest with Me" is a country song by the American duo Love and Theft, featured on one of their studio albums.
-
D.
Trusty
Trusty is the elderly, good-natured bloodhound in Disney’s *Lady and the Tramp* known for his loyalty, Southern drawl, and fading sense of smell.
-
E.
Truth and Truthfulness
Truth and Truthfulness is a philosophical work by Bernard Williams that examines the nature, value, and ethical significance of truth in human life and society.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51983afd081908d2cfeaeccb40bcb |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51ec56e408190968adb66d97e1e3e |
completed | March 26, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51f99ed0c81908c921b3932b59879 |
completed | March 26, 2026, 11:59 a.m. |
Created at: March 22, 2026, 4:27 p.m.