Triple
T4911213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Her Majesty's Theatre, London |
E110234
|
entity |
| Predicate | nameChangesWithMonarchGender |
P59385
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Her Majesty's Theatre, London, nameChangesWithMonarchGender, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameChangesWithMonarchGender Context triple: [Her Majesty's Theatre, London, nameChangesWithMonarchGender, true]
-
A.
lyricsChangeWithMonarchGender
Indicates that the lyrics of something (such as a song or anthem) are altered depending on whether the reigning monarch is male or female.
-
B.
tookRegnalName
Indicates that a person adopted and used a specific official regnal name upon assuming a throne or sovereign rulership.
-
C.
monarchTitleGenderedForm
Indicates the specific gendered version of a monarch’s title (e.g., king vs. queen) used to refer to that ruler.
-
D.
dynasticNameChangedTo
Indicates that an entity’s dynastic name was replaced by or transitioned into a new dynastic name.
-
E.
eraNameUsedDuringReign
Indicates that a particular era name was officially used throughout the duration of a ruler's reign.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9acc0c819080b07e2e7924d163 |
completed | March 20, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6cc228088190849f23b7bd4cf549 |
completed | March 20, 2026, 3:50 p.m. |
Created at: March 20, 2026, 1:29 p.m.