Triple
T14190888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple Haze 2 |
E351708
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object |
Sen City
Sen City is a musical artist known for contributing to the hip-hop project "Purple Haze 2."
|
E1086484
|
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: Sen City | Statement: [Purple Haze 2, hasContributor, Sen City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sen City Context triple: [Purple Haze 2, hasContributor, Sen City]
-
A.
Roxas City
Roxas City is a coastal city in the Philippines known as the "Seafood Capital of the Philippines" and serves as the capital of Capiz province in the Western Visayas region.
-
B.
South City
South City is a colloquial name for South San Francisco, a suburban city in San Mateo County, California, known for its industrial history and proximity to San Francisco.
-
C.
Sunrise City
Sunrise City is the coastal Florida city of Fort Pierce, known for its picturesque Atlantic Ocean sunrises and historic waterfront charm.
-
D.
Sunrise City
Sunrise City is the nickname of San Nicolas, highlighting its association with beautiful early-morning vistas and the dawn.
-
E.
Mima City
Mima City is a municipality in western Tokushima Prefecture, Japan, known for its historic townscapes, traditional indigo dyeing culture, and scenic rural landscapes.
- 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: Sen City Triple: [Purple Haze 2, hasContributor, Sen City]
Generated description
Sen City is a musical artist known for contributing to the hip-hop project "Purple Haze 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sen City Target entity description: Sen City is a musical artist known for contributing to the hip-hop project "Purple Haze 2."
-
A.
Roxas City
Roxas City is a coastal city in the Philippines known as the "Seafood Capital of the Philippines" and serves as the capital of Capiz province in the Western Visayas region.
-
B.
South City
South City is a colloquial name for South San Francisco, a suburban city in San Mateo County, California, known for its industrial history and proximity to San Francisco.
-
C.
Sunrise City
Sunrise City is the coastal Florida city of Fort Pierce, known for its picturesque Atlantic Ocean sunrises and historic waterfront charm.
-
D.
Sunrise City
Sunrise City is the nickname of San Nicolas, highlighting its association with beautiful early-morning vistas and the dawn.
-
E.
Mima City
Mima City is a municipality in western Tokushima Prefecture, Japan, known for its historic townscapes, traditional indigo dyeing culture, and scenic rural landscapes.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1946eb68819096adf3c16a39818d |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1eed1008819088635be43fbb1439 |
completed | May 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1f7c5d208190bab5d57e931fd082 |
completed | May 7, 2026, 11:25 p.m. |
Created at: April 10, 2026, 1:04 a.m.