Triple
T16219738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speed Racer (manga) |
E393690
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Racer X |
E387861
|
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: Racer X | Statement: [Speed Racer (manga), hasCharacter, Racer X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Racer X Context triple: [Speed Racer (manga), hasCharacter, Racer X]
-
A.
Racer X
chosen
Racer X is a mysterious, masked professional driver and key ally to Speed Racer in the 2008 live-action film adaptation of the classic anime.
-
B.
Racer-X
Racer-X is a 1980s post-hardcore/indie rock EP by the band Big Black, known for its abrasive sound, drum machine rhythms, and influential role in underground alternative music.
-
C.
Racers
Racers was a professional ice hockey team based in Indianapolis that competed in the World Hockey Association during the 1970s.
-
D.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fabf708190a624c1ed8ce48b0a |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007987cd881908ebc01141028c0a5 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.