Triple
T14559993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginuwine |
E341641
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Stingy
"Stingy" is an R&B song by American singer Ginuwine, known for its smooth production and themes of possessive love.
|
E1107515
|
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: Stingy | Statement: [Ginuwine, notableWork, Stingy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stingy Context triple: [Ginuwine, notableWork, Stingy]
-
A.
Greedy
Greedy is a 1994 American comedy film about a wealthy uncle whose greedy relatives scheme against each other to inherit his fortune.
-
B.
Hasparren
Hasparren is a commune in southwestern France’s Pyrénées-Atlantiques department, known for its Basque cultural heritage and picturesque setting in the foothills of the Pyrenees.
-
C.
Selfish
"Selfish" is a popular R&B/hip-hop track by the duo Twenty88 (Big Sean and Jhené Aiko), showcasing their chemistry through a blend of melodic hooks and relationship-focused lyrics.
-
D.
Selfish
Selfish is a 2015 coffee-table book by Kim Kardashian featuring a curated collection of her personal selfies and photographs.
-
E.
Selfish
"Selfish" is a popular Afrobeats/R&B song by Ghanaian singer King Promise that helped establish his prominence in the contemporary African music scene.
- 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: Stingy Triple: [Ginuwine, notableWork, Stingy]
Generated description
"Stingy" is an R&B song by American singer Ginuwine, known for its smooth production and themes of possessive love.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stingy Target entity description: "Stingy" is an R&B song by American singer Ginuwine, known for its smooth production and themes of possessive love.
-
A.
Greedy
Greedy is a 1994 American comedy film about a wealthy uncle whose greedy relatives scheme against each other to inherit his fortune.
-
B.
Hasparren
Hasparren is a commune in southwestern France’s Pyrénées-Atlantiques department, known for its Basque cultural heritage and picturesque setting in the foothills of the Pyrenees.
-
C.
Selfish
"Selfish" is a popular R&B/hip-hop track by the duo Twenty88 (Big Sean and Jhené Aiko), showcasing their chemistry through a blend of melodic hooks and relationship-focused lyrics.
-
D.
Selfish
Selfish is a 2015 coffee-table book by Kim Kardashian featuring a curated collection of her personal selfies and photographs.
-
E.
Selfish
"Selfish" is a popular Afrobeats/R&B song by Ghanaian singer King Promise that helped establish his prominence in the contemporary African music scene.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac003b08190923d469b3422cdab |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8b2989288190812565b3b59ad1fc |
completed | May 8, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8db224948190ac797626aa0c38ec |
completed | May 8, 2026, 7:16 a.m. |
Created at: April 10, 2026, 1:23 a.m.