Triple
T7444235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadie |
E171831
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Sady |
E171831
|
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: Sady | Statement: [Sadie, hasAlternativeSpelling, Sady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sady Context triple: [Sadie, hasAlternativeSpelling, Sady]
-
A.
Sadiddy
"Sadiddy" is a song by the hip hop duo Afrodisiac, known for its confident, stylish attitude and contemporary rap sound.
-
B.
So Sad the Song
"So Sad the Song" is a soulful ballad best known from Gladys Knight & the Pips’ 1976 recording, showcasing Gerry Goffin’s emotive songwriting.
-
C.
Sadie
chosen
Sadie is a feminine given name commonly used as a diminutive form of Sara or Sarah.
-
D.
Sadie
"Sadie" is a song by Joanna Newsom from her debut album *The Milk-Eyed Mender*, noted for its intricate harp accompaniment and poetic, emotionally rich lyrics.
-
E.
Saisiyat
The Saisiyat are one of Taiwan’s indigenous Austronesian-speaking peoples, known for their distinctive culture and the legendary Pasta’ay (Dwarf) ritual.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36e9a588190b54b8bae181fc971 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827a1bdf48190a0bf217044fb05f8 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:13 p.m.