Triple
T3171290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from "A Connecticut Yankee" (musical) |
E66350
|
entity |
| Predicate | associatedMusicalTheatreEra |
P38929
|
FINISHED |
| Object | Golden Age precursor |
—
|
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: Golden Age precursor | Statement: [Theme from "A Connecticut Yankee" (musical), associatedMusicalTheatreEra, Golden Age precursor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMusicalTheatreEra Context triple: [Theme from "A Connecticut Yankee" (musical), associatedMusicalTheatreEra, Golden Age precursor]
-
A.
musicalEra
chosen
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
B.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
C.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
D.
hasMusicalTheatreOrigin
Indicates that something originates from, was first created for, or is primarily derived from musical theatre.
-
E.
firstPerformanceEra
Indicates the time period during which an entity’s earliest known performance or debut took place.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66c043081908eb23a4fe3420a78 |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0076b4819094628f1ad10b8f68 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.