Triple
T16219743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speed Racer (manga) |
E393690
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Chim-Chim |
E1187313
|
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: Chim-Chim | Statement: [Speed Racer (manga), hasCharacter, Chim-Chim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chim-Chim Context triple: [Speed Racer (manga), hasCharacter, Chim-Chim]
-
A.
Chim-Chim
chosen
Chim-Chim is the mischievous pet chimpanzee and comic-relief sidekick from the classic anime and manga series "Speed Racer."
-
B.
Chee-Chee
Chee-Chee is the loyal and intelligent monkey companion of Doctor Dolittle in Hugh Lofting’s classic children’s book series.
-
C.
Tchi-tchi
"Tchi-tchi" is a popular song performed by French singer and actor Tino Rossi, known for his romantic and melodic style.
-
D.
Pichi
Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
-
E.
Chappy
Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
- 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.