Triple
T6524919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodie Flowers |
E151278
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Flowers |
E248503
|
NE 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: Flowers | Statement: [Woodie Flowers, familyName, Flowers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flowers Context triple: [Woodie Flowers, familyName, Flowers]
-
A.
Flowers
chosen
Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
-
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.
Wildflowers
"Wildflowers" is a critically acclaimed 1994 solo album by American musician Tom Petty, known for its introspective songwriting and rootsy rock sound.
-
D.
Flower
Flower is the debut studio album by American rock band Soundgarden, released in 1988 as part of their early grunge-era output.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9831f88190a2b64cf6bc8c9a11 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52372d08190a98c611dabc27c85 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:45 p.m.