Triple
T20165576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contra |
E491817
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Konami |
—
|
NE NERFINISHED |
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: Konami | Statement: [Contra, publisher, Konami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konami Context triple: [Contra, publisher, Konami]
-
A.
Konami
chosen
Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
-
B.
Capcom
Capcom is a Japanese video game developer and publisher best known for creating major franchises such as Resident Evil, Street Fighter, and Monster Hunter.
-
C.
Toie
Toie is a given name, often used as a short or informal form of the name Toie Roberts.
-
D.
CAPCOM
CAPCOM is the designated NASA Mission Control communicator responsible for direct voice contact with astronauts during space missions.
-
E.
Koei Tecmo
Koei Tecmo is a Japanese video game company known for developing and publishing action and role-playing titles, including the Dynasty Warriors series and various licensed collaborations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668442d2c81908bb1a0fac9895b5e |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.