Triple
T36968112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doxology: Praise God, from whom all blessings flow |
E914483
|
entity |
| Predicate | melodyMeter |
P186819
|
FINISHED |
| Object | Long Meter (8.8.8.8) |
—
|
NE NERFINISHED |
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: Long Meter (8.8.8.8) | Statement: [Doxology: Praise God, from whom all blessings flow, melodyMeter, Long Meter (8.8.8.8)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: melodyMeter Context triple: [Doxology: Praise God, from whom all blessings flow, melodyMeter, Long Meter (8.8.8.8)]
-
A.
musicMeter
Indicates the rhythmic structure or time signature governing how beats are organized within a piece of music.
-
B.
featuresCounterMelody
Indicates that the subject includes or incorporates a secondary melodic line that complements and contrasts with the main melody.
-
C.
isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
D.
melodicContour
Indicates the pattern of pitch movement over time in a musical line, describing how notes rise, fall, or stay level relative to one another.
-
E.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
- F. None of above. chosen
Provenance (4 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:14 p.m.