Triple
T8562465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raven Software |
E202720
|
entity |
| Predicate | notableSeriesContribution |
P83653
|
FINISHED |
| Object | multiplayer modes in Call of Duty titles |
—
|
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: multiplayer modes in Call of Duty titles | Statement: [Raven Software, notableSeriesContribution, multiplayer modes in Call of Duty titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSeriesContribution Context triple: [Raven Software, notableSeriesContribution, multiplayer modes in Call of Duty titles]
-
A.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
B.
notableProductionFor
Indicates that an entity is especially well-known or recognized for producing or creating another specified entity.
-
C.
notableShowProduced
Indicates that an entity played a significant role in producing a show that is considered notable.
-
D.
notableProgramInvolvement
Indicates that an entity has a significant or distinguished role or participation in a particular program.
-
E.
notableTelevisionProduction
Indicates that the subject is significantly associated with the creation or production of the referenced television work.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe94c0c3c8190aca981c07b090dc0 |
completed | March 31, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30e37ac8190b685df36274602b5 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:20 p.m.