Triple
T4911228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Her Majesty's Theatre, London |
E110234
|
entity |
| Predicate | hasRoyalCircle |
P59387
|
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, hasRoyalCircle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoyalCircle Context triple: [Her Majesty's Theatre, London, hasRoyalCircle, true]
-
A.
hasRoyalConnection
Indicates a relationship where an entity is linked or associated in some notable way to royalty, a royal family, or a royal institution.
-
B.
hasRoyalStatus
Indicates that an entity possesses a recognized royal rank, title, or status within a monarchy or royal system.
-
C.
hasRoyalHouse
Indicates that an entity is associated with or belongs to a particular royal house or dynasty.
-
D.
hasRoyalAncestryFrom
Indicates that one entity possesses royal lineage or descent originating from another entity.
-
E.
checkOnRoyalPower
Indicates monitoring, reviewing, or constraining the exercise of royal authority or sovereign power.
- 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.