Triple
T9477269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intelligent Systems |
E228546
|
entity |
| Predicate | knownForGenre |
P88335
|
FINISHED |
| Object | tactical role-playing games |
—
|
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: tactical role-playing games | Statement: [Intelligent Systems, knownForGenre, tactical role-playing games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForGenre Context triple: [Intelligent Systems, knownForGenre, tactical role-playing games]
-
A.
knownForMusicGenre
Indicates that an entity is recognized or notable for producing, performing, or being associated with a particular music genre.
-
B.
alsoKnownFor
Indicates that an entity is additionally recognized or noted for another work, role, achievement, or characteristic beyond its primary association.
-
C.
formerlyKnownFor
Indicates that an entity was previously recognized or notable for a particular role, attribute, or activity, but is no longer primarily associated with it.
-
D.
laterKnownFor
Indicates that an entity became recognized or notable for something at a later time than the context or event currently being referred to.
-
E.
knownForStoryline
Indicates that an entity is recognized or notable specifically for its narrative or storyline.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd801386948190890133f622ff360b |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:54 p.m.