Triple
T9702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Legend |
E196
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Darkness and Light
"Darkness and Light" is a 2016 R&B and soul studio album by John Legend that explores themes of love, social justice, and personal reflection.
|
E1039
|
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: Darkness and Light | Statement: [John Legend, notableWork, Darkness and Light]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darkness and Light Context triple: [John Legend, notableWork, Darkness and Light]
-
A.
Mens et Manus
Mens et Manus is the Latin motto of the Massachusetts Institute of Technology, expressing the union of mind and hand in the pursuit of knowledge and practical application.
-
B.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
-
C.
Crimson
Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
-
D.
Veritas
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
-
E.
Chocolate City
Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
- 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: Darkness and Light Triple: [John Legend, notableWork, Darkness and Light]
Generated description
"Darkness and Light" is a 2016 R&B and soul studio album by John Legend that explores themes of love, social justice, and personal reflection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darkness and Light Target entity description: "Darkness and Light" is a 2016 R&B and soul studio album by John Legend that explores themes of love, social justice, and personal reflection.
-
A.
Mens et Manus
Mens et Manus is the Latin motto of the Massachusetts Institute of Technology, expressing the union of mind and hand in the pursuit of knowledge and practical application.
-
B.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
-
C.
Crimson
Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
-
D.
Veritas
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
-
E.
Chocolate City
Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a23ff2f0508190806663ab2463cd41 |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a243c87d988190a9d0649c4a04c7b7 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_69a2464617148190ae1b5e316dd37efe |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a246bff58481908eebdbcb88e1ff78 |
completed | Feb. 28, 2026, 1:37 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.