Triple
T14409554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double or Nothing |
E357287
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Go Legend
Go Legend is a component or segment of the "Double or Nothing" work, likely serving as a distinct chapter, mode, or feature within that larger context.
|
E1097075
|
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: Go Legend | Statement: [Double or Nothing, hasPart, Go Legend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Legend Context triple: [Double or Nothing, hasPart, Go Legend]
-
A.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
-
B.
Kart
Kart refers to a member or native of the Kart dynasty of Herat, a medieval ruling family in the region of present-day western Afghanistan.
-
C.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
D.
Racers
Racers was a professional ice hockey team based in Indianapolis that competed in the World Hockey Association during the 1970s.
-
E.
RC Racer
RC Racer is a high-speed, U-shaped shuttle roller coaster themed after the remote-control car from Pixar's Toy Story films.
- 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: Go Legend Triple: [Double or Nothing, hasPart, Go Legend]
Generated description
Go Legend is a component or segment of the "Double or Nothing" work, likely serving as a distinct chapter, mode, or feature within that larger context.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Go Legend Target entity description: Go Legend is a component or segment of the "Double or Nothing" work, likely serving as a distinct chapter, mode, or feature within that larger context.
-
A.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
-
B.
Kart
Kart refers to a member or native of the Kart dynasty of Herat, a medieval ruling family in the region of present-day western Afghanistan.
-
C.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
D.
Racers
Racers was a professional ice hockey team based in Indianapolis that competed in the World Hockey Association during the 1970s.
-
E.
RC Racer
RC Racer is a high-speed, U-shaped shuttle roller coaster themed after the remote-control car from Pixar's Toy Story films.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c9b3448190aec1608836a5e913 |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5524e26c81909424b5ba88b5f330 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd56844d7c8190906b6550fb1c28d5 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5731c9188190bda2958bef87dfe2 |
completed | May 8, 2026, 3:23 a.m. |
Created at: April 10, 2026, 1:17 a.m.