Triple
T36239265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judy Rodman |
E891469
|
entity |
| Predicate | vocalCoachingFor |
P79754
|
FINISHED |
| Object | other recording artists |
—
|
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: other recording artists | Statement: [Judy Rodman, vocalCoachingFor, other recording artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalCoachingFor Context triple: [Judy Rodman, vocalCoachingFor, other recording artists]
-
A.
vocalTraining
chosen
Indicates that one entity provides or engages in training aimed at improving another entity’s vocal or singing abilities.
-
B.
vocal
Indicates that an entity produces or is characterized by audible sounds, speech, or vocalizations.
-
C.
vocalOrganSpecialization
Indicates a relationship where an entity’s vocal organ is specially adapted or modified for a particular function or mode of sound production.
-
D.
realWorldVocalPerformer
Indicates that an entity performs vocal music or singing in real-world (non-fictional) contexts.
-
E.
vocalStatus
Indicates the state or condition of an entity’s vocal activity, such as whether and how it is producing sound.
- 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.