Triple
T4033515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Fair Lady (orchestration) |
E83769
|
entity |
| Predicate | usesMaterialFrom |
P1272
|
FINISHED |
| Object | songs by Frederick Loewe |
—
|
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: songs by Frederick Loewe | Statement: [My Fair Lady (orchestration), usesMaterialFrom, songs by Frederick Loewe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMaterialFrom Context triple: [My Fair Lady (orchestration), usesMaterialFrom, songs by Frederick Loewe]
-
A.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
B.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
D.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
-
E.
appliedToMaterial
Indicates that an action, process, or treatment is performed on or directed toward a specific material.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.