Triple
T13542188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Together, Wherever We Go |
E323413
|
entity |
| Predicate | popularStandardIn |
P56602
|
FINISHED |
| Object | musical theatre repertoire |
—
|
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: musical theatre repertoire | Statement: [Together, Wherever We Go, popularStandardIn, musical theatre repertoire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularStandardIn Context triple: [Together, Wherever We Go, popularStandardIn, musical theatre repertoire]
-
A.
becameStandardIn
chosen
Indicates that something was adopted and recognized as the standard within a particular context, domain, or time period.
-
B.
standardOutput
Indicates that one entity produces data or results that are directed to another entity’s standard output stream.
-
C.
standardPar
Indicates that two entities are parallel and conform to a recognized or defined standard of parallelism.
-
D.
popularDescription
Indicates that an entity has a commonly used or widely recognized descriptive text or label associated with it.
-
E.
popularFor
Indicates that something is widely liked, recognized, or favored specifically because of a particular feature, quality, or use.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.