Triple
T38145424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golf le Fleur* |
E952594
|
entity |
| Predicate | brandNameLiteralMeaning |
P154580
|
FINISHED |
| Object | golf the flower |
—
|
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: golf the flower | Statement: [Golf le Fleur*, brandNameLiteralMeaning, golf the flower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandNameLiteralMeaning Context triple: [Golf le Fleur*, brandNameLiteralMeaning, golf the flower]
-
A.
tradeNameMeaning
chosen
Indicates that one entity is the meaning or semantic interpretation of another entity’s trade name.
-
B.
brandingMeaning
Indicates the conceptual message, values, or identity that a brand is intended to convey or represent.
-
C.
brandNameRefersTo
Indicates that a given brand name is used to denote or refer to a specific entity, product, or organization.
-
D.
brandNameDerivedFrom
Indicates that the brand’s name is derived from, based on, or taken from another specified name or source.
-
E.
brandNameType
Indicates the specific type or category associated with a brand name within a broader branding or naming system.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:21 p.m.