Triple
T11899179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golf le Fleur* |
E283105
|
entity |
| Predicate | brandNameMeaning |
P19939
|
FINISHED |
| Object |
golf the flower
"golf the flower" is the literal English meaning of Tyler, the Creator’s fashion brand name "Golf le Fleur*," reflecting its playful, whimsical aesthetic.
|
E952594
|
NE FINISHED |
How this triple was built (4 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*, brandNameMeaning, golf the flower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: golf the flower Context triple: [Golf le Fleur*, brandNameMeaning, golf the flower]
-
A.
Flower Piece
Flower Piece is the English title of Robert Schumann’s short piano work "Blumenstück in D-flat major, Op. 19," a lyrical Romantic character piece.
-
B.
Flowers
"Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
-
C.
Flowers
Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
-
D.
Flowers
Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
-
E.
Flower
Flower is the shy, good-natured skunk who befriends Bambi and Thumper in Disney’s 1942 animated film "Bambi."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: golf the flower Triple: [Golf le Fleur*, brandNameMeaning, golf the flower]
Generated description
"golf the flower" is the literal English meaning of Tyler, the Creator’s fashion brand name "Golf le Fleur*," reflecting its playful, whimsical aesthetic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: golf the flower Target entity description: "golf the flower" is the literal English meaning of Tyler, the Creator’s fashion brand name "Golf le Fleur*," reflecting its playful, whimsical aesthetic.
-
A.
Flower Piece
Flower Piece is the English title of Robert Schumann’s short piano work "Blumenstück in D-flat major, Op. 19," a lyrical Romantic character piece.
-
B.
Flowers
Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
-
C.
Flowers
"Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
-
D.
Flowers
Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
-
E.
Flower
Flower is the shy, good-natured skunk who befriends Bambi and Thumper in Disney’s 1942 animated film "Bambi."
- F. None of above. chosen
Provenance (5 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd13cc10819089d8d5103e562924 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4182f18c08190b22706b024d60dd7 |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1c21388190b6ecb0fd602abb7d |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f42283c4cc81909793834ef65d2514 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.