Triple
T9615163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Land Space Cowboys |
E232199
|
entity |
| Predicate | hasBrandingTheme |
P48415
|
FINISHED |
| Object | space and cowboy hybrid |
—
|
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: space and cowboy hybrid | Statement: [Sugar Land Space Cowboys, hasBrandingTheme, space and cowboy hybrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBrandingTheme Context triple: [Sugar Land Space Cowboys, hasBrandingTheme, space and cowboy hybrid]
-
A.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
B.
hasMarketingTheme
chosen
Indicates that an entity is associated with or characterized by a particular marketing theme or campaign concept.
-
C.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
D.
hasThemingDetail
Indicates that something includes or is associated with a specific thematic element, motif, or stylistic detail.
-
E.
hasMotiveTheme
Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aabb6b88190b53547db885e0129 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.