Triple
T28896056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dotemu |
E732835
|
entity |
| Predicate | roleInStreetsOfRage4 |
P197514
|
FINISHED |
| Object | publisher |
—
|
LITERAL 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: publisher | Statement: [Dotemu, roleInStreetsOfRage4, publisher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInStreetsOfRage4 Context triple: [Dotemu, roleInStreetsOfRage4, publisher]
-
A.
roleInDarkCity
Indicates that an entity has a specific role, function, or character within the context of the work "Dark City."
-
B.
voiceActorInStreetsOfRage4
Indicates that a person served as a voice actor for a character in the video game "Streets of Rage 4".
-
C.
roleInInferno
Indicates that one entity has a specific narrative or functional role in relation to another entity within the context of the Inferno.
-
D.
roleInDishonored
Indicates that an entity holds or plays a particular role within the context of the work titled "Dishonored."
-
E.
roleInResidentEvilApocalypse
Indicates that an entity portrays a specific role or character in the film "Resident Evil: Apocalypse."
- F. None of above. chosen
Provenance (4 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69fe991abc6c81908edbb98d61c9ca73 |
completed | May 9, 2026, 2:16 a.m. |
Created at: April 28, 2026, 7:59 a.m.