Triple
T37057138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overthunk |
E917221
|
entity |
| Predicate | hasSettingUniverse |
P115007
|
FINISHED |
| Object | Boomiverse |
—
|
NE NERFINISHED |
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: Boomiverse | Statement: [Overthunk, hasSettingUniverse, Boomiverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettingUniverse Context triple: [Overthunk, hasSettingUniverse, Boomiverse]
-
A.
settingInUniverse
chosen
Indicates that one entity is set or takes place within the fictional universe defined by another entity.
-
B.
hasSetting
Indicates that an entity takes place, occurs, or exists within a particular environment, context, or location.
-
C.
hasCanonicalUniverse
Indicates that an entity is associated with or belongs to a primary, officially recognized universe or continuity within a larger fictional or conceptual multiverse.
-
D.
hasSettingBy
Indicates that something (such as a work, event, or scenario) has its contextual environment, location, or background defined or established by a particular agent or source.
-
E.
hasInUniverseCondition
Indicates that an entity is associated with a condition or rule that applies specifically within a particular fictional or defined universe.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00717f539c8190b70dd0e72c6f7d24 |
completed | May 10, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_6a00710278fc81908889afdcf459ff01 |
completed | May 10, 2026, 11:50 a.m. |
Created at: May 3, 2026, 4:14 p.m.