Triple
T19190845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Traviata |
E469831
|
entity |
| Predicate | voiceTypeForGermont |
P134803
|
FINISHED |
| Object | baritone |
—
|
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: baritone | Statement: [La Traviata, voiceTypeForGermont, baritone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceTypeForGermont Context triple: [La Traviata, voiceTypeForGermont, baritone]
-
A.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
B.
voiceTypeOfDonRamiro
Indicates that the specified voice type is the vocal classification associated with the character Don Ramiro.
-
C.
tenor
Indicates a relationship where an entity serves as the primary participant, subject, or focus in a communicative or experiential process (e.g., the one who feels, thinks, says, or experiences something).
-
D.
voiceActorAccent
Indicates that a voice actor performs their role using a specified accent.
-
E.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a226dc8190a8a96960a4180298 |
completed | April 20, 2026, 9:57 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:07 p.m.