Triple
T3170902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from "No Strings" (revised) |
E66333
|
entity |
| Predicate | musicalTheatreEra |
P46733
|
FINISHED |
| Object | 1960s Broadway |
—
|
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: 1960s Broadway | Statement: [Theme from "No Strings" (revised), musicalTheatreEra, 1960s Broadway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalTheatreEra Context triple: [Theme from "No Strings" (revised), musicalTheatreEra, 1960s Broadway]
-
A.
musicalEra
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.
firstPerformanceEra
Indicates the time period during which an entity’s earliest known performance or debut took place.
-
D.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
E.
hasMusicalTheatreOrigin
Indicates that something originates from, was first created for, or is primarily derived from musical theatre.
- 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_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. |
| PDg | Predicate description generation | batch_69ada20880e481908ecac09d49b1f1c3 |
completed | March 8, 2026, 4:21 p.m. |
Created at: March 8, 2026, 3:06 p.m.