Triple
T32644712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Dog |
E834567
|
entity |
| Predicate | merchandiseRole |
P174763
|
FINISHED |
| Object | top babyface merchandise seller for WWE |
—
|
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: top babyface merchandise seller for WWE | Statement: [The Big Dog, merchandiseRole, top babyface merchandise seller for WWE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: merchandiseRole Context triple: [The Big Dog, merchandiseRole, top babyface merchandise seller for WWE]
-
A.
merchandiseSource
Indicates that one entity is the origin, supplier, or provider from which another entity’s merchandise is obtained.
-
B.
merchandisingPartner
Indicates a relationship where one party collaborates with another to plan, manage, or execute the promotion, display, or sale of products or services.
-
C.
merchandiseChange
Indicates a change in the type, quantity, or status of merchandise associated with an entity or transaction.
-
D.
productRole
Indicates the functional role or purpose that a product has within a broader system, context, or usage scenario.
-
E.
sellsToCharacter
Indicates that one entity sells goods or services to a specific character.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c7e32ec08190b74856937c4a9fc3 |
completed | May 3, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:07 a.m.