Triple
T19651323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T206 Honus Wagner baseball card |
E471821
|
entity |
| Predicate | cardBackType |
P86131
|
FINISHED |
| Object | tobacco advertisement |
—
|
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: tobacco advertisement | Statement: [T206 Honus Wagner baseball card, cardBackType, tobacco advertisement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardBackType Context triple: [T206 Honus Wagner baseball card, cardBackType, tobacco advertisement]
-
A.
hasCardBack
chosen
Indicates that an entity possesses or is associated with a specific card back design or reverse side.
-
B.
cardType
Indicates the classification or category assigned to a card within a given system or context.
-
C.
cardFormat
Indicates the specific layout or structural style in which a card or card-like item is presented or encoded.
-
D.
cardClass
Indicates the classification or category to which a given card belongs within a defined card system or schema.
-
E.
cardColor
Indicates the color attribute assigned to a card in the relationship.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64141f61c819098fe148581fb1747 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.