Triple
T12248251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Carnival |
E291905
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Sang Fézi
Sang Fézi is a track featured on the album "The Carnival" by Haitian-American musician Wyclef Jean.
|
E971055
|
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: Sang Fézi | Statement: [The Carnival, hasTrack, Sang Fézi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sang Fézi Context triple: [The Carnival, hasTrack, Sang Fézi]
-
A.
Faoug
Faoug is a small Swiss village in the canton of Vaud, situated on the southern shore of Lake Murten and known for its lakeside setting and recreational opportunities.
-
B.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
C.
Saffais
Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
-
D.
Faeto
Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
-
E.
Faya
Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
- 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: Sang Fézi Triple: [The Carnival, hasTrack, Sang Fézi]
Generated description
Sang Fézi is a track featured on the album "The Carnival" by Haitian-American musician Wyclef Jean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sang Fézi Target entity description: Sang Fézi is a track featured on the album "The Carnival" by Haitian-American musician Wyclef Jean.
-
A.
Faoug
Faoug is a small Swiss village in the canton of Vaud, situated on the southern shore of Lake Murten and known for its lakeside setting and recreational opportunities.
-
B.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
C.
Saffais
Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
-
D.
Faeto
Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
-
E.
Faya
Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc50d808190a3c8d1ada31a6a91 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab9a9b08190903c1ce6d91af2b5 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60bdd8d508190813178ff4c77afcf |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c67c680819087630d190d0a008f |
completed | May 2, 2026, 2:38 p.m. |
Created at: April 8, 2026, 9:51 p.m.