Triple
T996699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurey Williams |
E21510
|
entity |
| Predicate | mediumOfAppearance |
P5765
|
FINISHED |
| Object | stage musical |
—
|
LITERAL 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: stage musical | Statement: [Laurey Williams, mediumOfAppearance, stage musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfAppearance Context triple: [Laurey Williams, mediumOfAppearance, stage musical]
-
A.
mediumOfOrigin
Indicates the original physical or digital medium from which an item, work, or data was derived or obtained.
-
B.
primaryMedium
chosen
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
-
C.
secondaryMedium
Indicates that an entity is associated with an additional, non-primary medium or channel through which it is expressed, delivered, or communicated.
-
D.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
E.
depictsMedium
Indicates that one entity visually represents or portrays the medium or material of another entity.
- F. None of above.
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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4df6dcc819084a7c0a50637a2c2 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2af071c819086c374a16307dfe0 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.