Triple
T15970790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For My Lady |
E387314
|
entity |
| Predicate | hasGameplayFocus |
P10167
|
FINISHED |
| Object | narrative-driven storytelling |
—
|
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: narrative-driven storytelling | Statement: [For My Lady, hasGameplayFocus, narrative-driven storytelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGameplayFocus Context triple: [For My Lady, hasGameplayFocus, narrative-driven storytelling]
-
A.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
B.
hasActingFocus
Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
-
C.
hasCharacterFocus
Indicates that a work, scene, or segment centers primarily on a particular character’s experiences, perspective, or development.
-
D.
hasGlobalFocus
Indicates that something is oriented toward, concerned with, or applicable to worldwide or international scope rather than a local or regional one.
-
E.
hasPrimaryFocus
chosen
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.