Triple
T15999896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy Taxi |
E388066
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Hitmaker |
E1187753
|
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: Hitmaker | Statement: [Crazy Taxi, developer, Hitmaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitmaker Context triple: [Crazy Taxi, developer, Hitmaker]
-
A.
Hitmaker
Hitmaker is a music producer known for crafting polished, commercially appealing tracks, including work on Ghostface Killah’s album "Fishscale."
-
B.
Hitmaker
chosen
Hitmaker was a Sega development studio known for creating popular arcade and console games, particularly in the sports and racing genres.
-
C.
Making It
Making It is an American television series best known as a lighthearted crafting competition show co-hosted by Amy Poehler and Nick Offerman.
-
D.
Trouble Maker
Trouble Maker is a punk rock song by the American band Rancid, known for its fast tempo, gritty vocals, and politically charged lyrics.
-
E.
The Hit
"The Hit" is an Israeli film directed by Assi Dayan, known for its darkly comic and satirical take on Israeli society.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1578a0adc819097c6a23514182173 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1edc7c81908fdd0fa00418d7a7 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.