Triple
T15822369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty Marks |
E383642
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Dose |
E1178640
|
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: Dose | Statement: [Beauty Marks, hasSingle, Dose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dose Context triple: [Beauty Marks, hasSingle, Dose]
-
A.
Dose
chosen
Dose is a component or segment of the work "Beauty Marks," likely representing one of its distinct parts such as a track, chapter, or section.
-
B.
Dosage
Dosage is a studio album by American rock band Collective Soul, known for its polished alternative rock sound and late-1990s radio hits.
-
C.
Dose (album)
Dose is the second studio album by American rock band Gov't Mule, featuring guitarist Warren Haynes and known for its heavy blues-rock sound and extended improvisations.
-
D.
DoQ
DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
-
E.
Doxato
Doxato is a town in northern Greece located within the Drama regional unit, known for its agricultural surroundings and historical significance.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a887d881908f74a1fcba390727 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13392c48190b03cbed9df5a32a6 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.