Triple
T37539759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Lofgren |
E933294
|
entity |
| Predicate | usedModelSystem |
P37433
|
FINISHED |
| Object | online game environments |
—
|
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: online game environments | Statement: [Eric Lofgren, usedModelSystem, online game environments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedModelSystem Context triple: [Eric Lofgren, usedModelSystem, online game environments]
-
A.
usesModelsType
Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
-
B.
useOfModel
chosen
Indicates that one entity employs, applies, or relies on a particular model for a specific purpose or task.
-
C.
usedProgramModel
Indicates that an entity employed a specific program model as the basis or framework for its activities or operations.
-
D.
usedToModel
Indicates that one entity serves as a model or representation for another entity, typically for purposes of analysis, simulation, or understanding.
-
E.
usedByModel
Indicates that something (such as a resource, method, or component) is utilized or consumed by a particular model.
- F. None of above.
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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.