Triple
T13166847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Believe in You and Me |
E312872
|
entity |
| Predicate | houstonVersionVocalRange |
P1151
|
FINISHED |
| Object | approximately three octaves |
—
|
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: approximately three octaves | Statement: [I Believe in You and Me, houstonVersionVocalRange, approximately three octaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houstonVersionVocalRange Context triple: [I Believe in You and Me, houstonVersionVocalRange, approximately three octaves]
-
A.
hasVocalRangeDescription
Indicates that an entity is associated with a textual description of its vocal range or vocal capabilities.
-
B.
vocalRange
chosen
Indicates the span of pitches or notes that an entity (such as a singer or instrument) is capable of producing.
-
C.
hasNotableVocalType
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
-
D.
hasVocalForces
Indicates that an entity involves or employs vocal performers or vocal parts as a contributing force.
-
E.
WhitneyHoustonVersionType
Indicates that one entity is a specific version or rendition associated with Whitney Houston, typically distinguishing her performance or recording from other versions.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:13 p.m.