Triple
T17889440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perchance to Dream |
E447275
|
entity |
| Predicate | firstStagedDuring |
P94859
|
FINISHED |
| Object | Second World War era |
—
|
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: Second World War era | Statement: [Perchance to Dream, firstStagedDuring, Second World War era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstStagedDuring Context triple: [Perchance to Dream, firstStagedDuring, Second World War era]
-
A.
stagedBy
Indicates that an event, performance, or production is organized, directed, or put on by a particular agent or entity.
-
B.
isStagedBy
Indicates that something (such as a performance, event, or production) is organized, directed, or put on by a particular agent or entity.
-
C.
firstStageType
Indicates that one entity is the type or category of the first stage or initial phase associated with another entity.
-
D.
firstStageName
Indicates that one entity is the initial or earliest stage name associated with another entity in a sequence or lifecycle.
-
E.
firstPerformedDuring
chosen
Indicates that an action, event, or performance occurred for the first time within a specified time period or during a particular event.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7828b481909b645fceb37a7ca3 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:18 a.m.