Triple
T32644651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tribal Chief |
E834566
|
entity |
| Predicate | brandPosition |
P175494
|
FINISHED |
| Object | top star of SmackDown |
—
|
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 star of SmackDown | Statement: [The Tribal Chief, brandPosition, top star of SmackDown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandPosition Context triple: [The Tribal Chief, brandPosition, top star of SmackDown]
-
A.
brandPositioning
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
-
B.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
C.
brandNumber
Indicates the identifying number or code assigned to a particular brand within a system or dataset.
-
D.
brandScale
Indicates the extent or level of a brand’s size, reach, or influence within its market or context.
-
E.
brandNameType
Indicates the specific type or category associated with a brand name within a broader branding or naming system.
- 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_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:07 a.m.