Triple
T37459711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinkmaster Overspark (reprint-related theme) |
E930886
|
entity |
| Predicate | hasFlavorConnection |
P188665
|
FINISHED |
| Object | Goblins vs Gnomes expansion |
—
|
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: Goblins vs Gnomes expansion | Statement: [Tinkmaster Overspark (reprint-related theme), hasFlavorConnection, Goblins vs Gnomes expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlavorConnection Context triple: [Tinkmaster Overspark (reprint-related theme), hasFlavorConnection, Goblins vs Gnomes expansion]
-
A.
hasFlavorAssociation
Indicates a relationship where one entity is conceptually or perceptually linked to a particular flavor or taste profile.
-
B.
hasFlavorType
Indicates that an entity possesses or is characterized by a particular type or category of flavor.
-
C.
hasFlavorContent
Indicates that something possesses or contains a particular flavor or set of flavor characteristics.
-
D.
isFlavored
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
E.
hasSecondaryFlavor
Indicates that an entity possesses an additional, subordinate flavor characteristic beyond its primary flavor.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:17 p.m.