Triple
T18449154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doc's da Name 2000 |
E450732
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Da Goodness
Da Goodness is a track from the 2000 hip-hop album "Doc's da Name 2000" by Redman.
|
E1325571
|
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: Da Goodness | Statement: [Doc's da Name 2000, hasPart, Da Goodness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Goodness Context triple: [Doc's da Name 2000, hasPart, Da Goodness]
-
A.
Only Goodness
Only Goodness is a short story by Jhumpa Lahiri that appears in her collection "Unaccustomed Earth," exploring themes of family, guilt, and cultural identity.
-
B.
Made for Goodness
"Made for Goodness" is a spiritual and reflective book co-authored by Archbishop Desmond Tutu and his daughter Mpho Tutu van Furth that explores the idea that humans are fundamentally created for goodness, love, and compassion.
-
C.
So Good
"So Good" is a popular hip hop and pop-rap single by American rapper B.o.B, known for its catchy melody and romantic, feel-good lyrics.
-
D.
So Good
"So Good" is the 2017 debut international studio album by Swedish pop singer Zara Larsson, featuring hit singles like "Lush Life" and "Ain't My Fault."
-
E.
So Good
"So Good" is a 2005 pop single by British singer Rachel Stevens, known for its sleek production and dance-pop sound.
- 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: Da Goodness Triple: [Doc's da Name 2000, hasPart, Da Goodness]
Generated description
Da Goodness is a track from the 2000 hip-hop album "Doc's da Name 2000" by Redman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Da Goodness Target entity description: Da Goodness is a track from the 2000 hip-hop album "Doc's da Name 2000" by Redman.
-
A.
Only Goodness
Only Goodness is a short story by Jhumpa Lahiri that appears in her collection "Unaccustomed Earth," exploring themes of family, guilt, and cultural identity.
-
B.
Made for Goodness
"Made for Goodness" is a spiritual and reflective book co-authored by Archbishop Desmond Tutu and his daughter Mpho Tutu van Furth that explores the idea that humans are fundamentally created for goodness, love, and compassion.
-
C.
So Good
"So Good" is a popular hip hop and pop-rap single by American rapper B.o.B, known for its catchy melody and romantic, feel-good lyrics.
-
D.
So Good
"So Good" is the 2017 debut international studio album by Swedish pop singer Zara Larsson, featuring hit singles like "Lush Life" and "Ain't My Fault."
-
E.
So Good
"So Good" is a 2005 pop single by British singer Rachel Stevens, known for its sleek production and dance-pop sound.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52646949c81909664e864224675a6 |
completed | April 19, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fe3a8248190ab103d8e41141113 |
completed | May 13, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_6a041176a7e88190a38e3ace547212c2 |
completed | May 13, 2026, 5:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0412085b788190b4308f7ece1c7fa3 |
completed | May 13, 2026, 5:54 a.m. |
Created at: April 10, 2026, 11:30 a.m.