Triple
T19665959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lizz Wright |
E472198
|
entity |
| Predicate | earlyMusicalExperience |
P136880
|
FINISHED |
| Object | singing in church choir |
—
|
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: singing in church choir | Statement: [Lizz Wright, earlyMusicalExperience, singing in church choir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyMusicalExperience Context triple: [Lizz Wright, earlyMusicalExperience, singing in church choir]
-
A.
beganPlayingPianoAtAge
Indicates the age at which an individual first started playing the piano.
-
B.
playedEarlyYearsOf
Indicates that one entity portrayed or acted as the younger/early-life version of another entity in a performance or production.
-
C.
learnedInstrument
Indicates that an entity has acquired the skill or ability to play a particular musical instrument.
-
D.
learnedMusicFrom
Indicates that one entity acquired musical knowledge or skills through instruction or influence from another entity.
-
E.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416857c88190acb3adbf3e585fe5 |
completed | April 20, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.