Triple
T1864537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afrodisiac |
E34889
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Should I Go
"Should I Go" is a song by American singer Beyoncé from her 2003 debut solo album "Dangerously in Love."
|
E207705
|
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: Should I Go | Statement: [Afrodisiac, hasTrack, Should I Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Should I Go Context triple: [Afrodisiac, hasTrack, Should I Go]
-
A.
As We Go
As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
-
B.
Yonder We Go
"Yonder We Go" is a track from the folk album *Harrow Songs* by English singer-songwriter and guitarist James Yorkston.
-
C.
Let Yourself Go
"Let Yourself Go" is a punk rock song by Green Day from their 2012 album ¡Uno!.
-
D.
Let Yourself Go
"Let Yourself Go" is a studio album by Broadway and television star Kristin Chenoweth, featuring her interpretations of classic songs in a retro, big-band and vocal jazz style.
-
E.
Do I Do
"Do I Do" is a 1982 upbeat R&B and funk song by Stevie Wonder, known for its extended groove, jazz-influenced arrangement, and a prominent trumpet solo by Dizzy Gillespie.
- 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: Should I Go Triple: [Afrodisiac, hasTrack, Should I Go]
Generated description
"Should I Go" is a song by American singer Beyoncé from her 2003 debut solo album "Dangerously in Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Should I Go Target entity description: "Should I Go" is a song by American singer Beyoncé from her 2003 debut solo album "Dangerously in Love."
-
A.
As We Go
As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
-
B.
Yonder We Go
"Yonder We Go" is a track from the folk album *Harrow Songs* by English singer-songwriter and guitarist James Yorkston.
-
C.
Let Yourself Go
"Let Yourself Go" is a punk rock song by Green Day from their 2012 album ¡Uno!.
-
D.
Let Yourself Go
"Let Yourself Go" is a studio album by Broadway and television star Kristin Chenoweth, featuring her interpretations of classic songs in a retro, big-band and vocal jazz style.
-
E.
Do I Do
"Do I Do" is a 1982 upbeat R&B and funk song by Stevie Wonder, known for its extended groove, jazz-influenced arrangement, and a prominent trumpet solo by Dizzy Gillespie.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a0b4b881908b07c07db624701d |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d2d2d48190b2234d1ec9ba9085 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add28b804c8190a625e5d1405c59be |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add35731588190a13c969490ca2c09 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:34 p.m.