Triple
T10293359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Need for Speed |
E241418
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Need for Speed |
E241418
|
NE FINISHED |
How this triple was built (2 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: The Need for Speed | Statement: [Need for Speed, hasPart, The Need for Speed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Need for Speed Context triple: [Need for Speed, hasPart, The Need for Speed]
-
A.
Need for Speed (video game series)
chosen
Need for Speed is a long-running racing video game franchise known for its high-speed street racing, car customization, and police chases.
-
B.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
-
C.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
D.
Speed (franchise)
Speed is an American action-thriller film franchise best known for its high-stakes, vehicle-based suspense and its breakout 1994 film starring Keanu Reeves and Sandra Bullock.
-
E.
Midnight Club
Midnight Club is a horror-themed television series created by Mike Flanagan that follows a group of terminally ill teens who gather at night to share scary stories in a mysterious hospice.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d46fb08190b7694290692e47dc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d1c180481909ca9983e14cbb931 |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:42 a.m.