Triple
T10956692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Covers |
E258862
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Sadie |
E101492
|
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: Sadie | Statement: [Covers, hasTrack, Sadie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadie Context triple: [Covers, hasTrack, Sadie]
-
A.
Sadie
chosen
"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.
-
B.
Sadie
Sadie is a feminine given name commonly used as a diminutive form of Sara or Sarah.
-
C.
Sadie McKee
Sadie McKee is a 1934 American romantic drama film starring Joan Crawford, known for its blend of melodrama, music, and social commentary.
-
D.
Sister Sadie
"Sister Sadie" is a jazz composition by pianist and bandleader Horace Silver, known for its soulful hard bop style and enduring popularity in the jazz repertoire.
-
E.
Lila
Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c72196c8190b2336a130b64ab8e |
completed | April 17, 2026, 1:58 p.m. |
Created at: April 8, 2026, 9:23 p.m.