Triple
T11101590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Morton Organ Company |
E262520
|
entity |
| Predicate | genreOfInstrument |
P12711
|
FINISHED |
| Object | theater organ |
—
|
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: theater organ | Statement: [Robert Morton Organ Company, genreOfInstrument, theater organ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfInstrument Context triple: [Robert Morton Organ Company, genreOfInstrument, theater organ]
-
A.
typeOfInstrument
chosen
Indicates the specific kind or category of instrument associated with an entity.
-
B.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
C.
primaryInstrumentalStyle
Indicates the main instrumental style or genre most closely associated with an entity’s musical performance or work.
-
D.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
E.
primaryInstrumentFamily
Indicates the main family or category of musical instruments with which an entity is primarily associated.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a2ab09081908ffce2df8912b657 |
completed | April 9, 2026, 12:23 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.