Triple
T5350769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Fair |
E124171
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
FUN
FUN is the stock ticker symbol for Cedar Fair, a major North American operator of amusement and water parks.
|
E513968
|
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: FUN | Statement: [Cedar Fair, tickerSymbol, FUN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FUN Context triple: [Cedar Fair, tickerSymbol, FUN]
-
A.
Fun.
Fun. is an American indie pop band best known for their anthemic hit singles like "We Are Young" and "Some Nights."
-
B.
Fun, Fun, Fun
"Fun, Fun, Fun" is a 1964 rock and roll song by the Beach Boys, celebrated for its catchy harmonies and car-culture lyrics that helped define the band's early surf-rock sound.
-
C.
Unfun
Unfun is the debut studio album by American punk rock band Jawbreaker, known for its raw sound and influential role in the early 1990s punk and emo scenes.
-
D.
Just for Fun
"Just for Fun" is a song from Beyoncé’s genre-blending 2024 album *Cowboy Carter*, which explores country, Americana, and Black Southern musical traditions.
-
E.
Fu
Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
- 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: FUN Triple: [Cedar Fair, tickerSymbol, FUN]
Generated description
FUN is the stock ticker symbol for Cedar Fair, a major North American operator of amusement and water parks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FUN Target entity description: FUN is the stock ticker symbol for Cedar Fair, a major North American operator of amusement and water parks.
-
A.
Fun.
Fun. is an American indie pop band best known for their anthemic hit singles like "We Are Young" and "Some Nights."
-
B.
Fun, Fun, Fun
"Fun, Fun, Fun" is a 1964 rock and roll song by the Beach Boys, celebrated for its catchy harmonies and car-culture lyrics that helped define the band's early surf-rock sound.
-
C.
Unfun
Unfun is the debut studio album by American punk rock band Jawbreaker, known for its raw sound and influential role in the early 1990s punk and emo scenes.
-
D.
Just for Fun
"Just for Fun" is a song from Beyoncé’s genre-blending 2024 album *Cowboy Carter*, which explores country, Americana, and Black Southern musical traditions.
-
E.
Fu
Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd860fe4048190846a933d0e1b9386 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21d494b481909d7887cd85233815 |
completed | March 21, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69bf230926348190b40f8a6105d64d54 |
completed | March 21, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf243319448190a30d6e8847d3f4b8 |
completed | March 21, 2026, 11:05 p.m. |
Created at: March 20, 2026, 2:01 p.m.