Triple
T38599244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C major |
E934164
|
entity |
| Predicate | hasTonic |
P195340
|
FINISHED |
| Object | C |
—
|
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: C | Statement: [C major, hasTonic, C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTonic Context triple: [C major, hasTonic, C]
-
A.
haveTone
Indicates that an entity possesses or exhibits a particular tone, such as a specific attitude, mood, or quality of expression.
-
B.
hasSpice
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
-
C.
hasTarn
Indicates that something possesses or contains a tarn, i.e., a small mountain lake or pool.
-
D.
hasTotem
Indicates that one entity possesses, is symbolically represented by, or is associated with another entity as its totem.
-
E.
hasEnergyDrinkFunction
Indicates that something serves the role or performs the function of an energy drink, typically by providing stimulation or increased energy.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
| PDg | Predicate description generation | batch_69fdbaa1313081908beea28a5597ae40 |
completed | May 8, 2026, 10:27 a.m. |
Created at: May 3, 2026, 4:32 p.m.