Triple
T5271512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emile Hirsch |
E119268
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Speed Racer in Speed Racer |
E85513
|
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: Speed Racer in Speed Racer | Statement: [Emile Hirsch, playedCharacter, Speed Racer in Speed Racer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speed Racer in Speed Racer Context triple: [Emile Hirsch, playedCharacter, Speed Racer in Speed Racer]
-
A.
Speed Racer
chosen
Speed Racer is a 2008 live-action film adaptation of the classic Japanese anime and manga series, known for its hyper-stylized visuals and high-octane racing sequences.
-
B.
Speed Racer (manga)
Speed Racer (manga) is a classic 1960s Japanese racing manga series by Tatsuo Yoshida that follows the high-speed adventures of a young race car driver and his advanced car, the Mach 5.
-
C.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
D.
Mom Racer
Mom Racer is the caring and supportive mother of the protagonist in the 2008 live-action film adaptation of the classic anime Speed Racer.
-
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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c1fa01081909d589686289b624b |
completed | March 20, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10d4cd44819085193f0f76eb597a |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:51 p.m.