Triple
T18067887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent Maher |
E432336
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | SHeDAISY |
—
|
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: SHeDAISY | Statement: [Brent Maher, associatedAct, SHeDAISY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHeDAISY Context triple: [Brent Maher, associatedAct, SHeDAISY]
-
A.
Daisie
Daisie is a creative networking and collaboration platform co-founded by actress Maisie Williams to help emerging artists showcase their work and connect with opportunities.
-
B.
SheDaisy
chosen
SheDaisy is an American country music group known for their tight vocal harmonies and early-2000s hits like "Little Good-Byes" and "This Woman Needs."
-
C.
Bea-da
Bea-da is an alternative name for the Aka-Bea, an extinct indigenous people and language group from the Andaman Islands in the Indian Ocean.
-
D.
Daisy Jane
"Daisy Jane" is a soft rock ballad by the band America, known for its gentle melody and introspective lyrics.
-
E.
Doo-Dah
Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cceb020081909329492591e7b1f2 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.