Triple
T6189191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shane Hurlbut |
E138142
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Need for Speed |
E50450
|
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: Need for Speed | Statement: [Shane Hurlbut, notableWork, Need for Speed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Need for Speed Context triple: [Shane Hurlbut, notableWork, Need for Speed]
-
A.
Need for Speed (video game series)
Need for Speed is a long-running racing video game franchise known for its high-speed street racing, car customization, and police chases.
-
B.
Need for Speed (2014 film)
chosen
Need for Speed (2014 film) is an action-packed racing movie based on the popular video game series, following a street racer seeking revenge through high-stakes cross-country car battles.
-
C.
Gran Turismo
Gran Turismo is a long-running and highly realistic racing simulation video game series known for its extensive car roster and meticulous attention to driving physics.
-
D.
Jet Set Radio
Jet Set Radio is a stylish cel-shaded action game known for its graffiti-tagging, inline skating, and influential soundtrack set in a futuristic Tokyo.
-
E.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062192c5481909eb41f8c5d1208a3 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f06c770819087e055cfe6c8b134 |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:19 p.m.