Triple
T14631660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curren$y |
E343492
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Spitta
Spitta is the stage name of Curren$y, a New Orleans rapper known for his laid-back flow, prolific mixtape output, and weed-centric, luxury-lifestyle lyrics.
|
E1110560
|
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: Spitta | Statement: [Curren$y, alsoKnownAs, Spitta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spitta Context triple: [Curren$y, alsoKnownAs, Spitta]
-
A.
Spit
"Spit" is a song from Katy Perry's early Christian rock phase, released under her birth name Katy Hudson.
-
B.
The Spray
The Spray is a short story by Jonathan Lethem included in his collection Men and Cartoons, blending speculative elements with his characteristic offbeat, literary style.
-
C.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
D.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
-
E.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
- 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: Spitta Triple: [Curren$y, alsoKnownAs, Spitta]
Generated description
Spitta is the stage name of Curren$y, a New Orleans rapper known for his laid-back flow, prolific mixtape output, and weed-centric, luxury-lifestyle lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spitta Target entity description: Spitta is the stage name of Curren$y, a New Orleans rapper known for his laid-back flow, prolific mixtape output, and weed-centric, luxury-lifestyle lyrics.
-
A.
Spit
"Spit" is a song from Katy Perry's early Christian rock phase, released under her birth name Katy Hudson.
-
B.
The Spray
The Spray is a short story by Jonathan Lethem included in his collection Men and Cartoons, blending speculative elements with his characteristic offbeat, literary style.
-
C.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
D.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
-
E.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda931834081909d90ec0479eca3f9 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb27c8db481909330d299faded4f3 |
completed | May 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3b24320819098dd7fab0c3a0507 |
completed | May 8, 2026, 9:58 a.m. |
Created at: April 10, 2026, 1:26 a.m.