Triple
T4566329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Henrietta's Men |
E121917
|
entity |
| Predicate | disbandedBecauseOf |
P13662
|
FINISHED |
| Object | closure of the theatres in 1642 |
—
|
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: closure of the theatres in 1642 | Statement: [Queen Henrietta's Men, disbandedBecauseOf, closure of the theatres in 1642]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disbandedBecauseOf Context triple: [Queen Henrietta's Men, disbandedBecauseOf, closure of the theatres in 1642]
-
A.
reasonForDisbandment
chosen
Indicates the cause or circumstance that led to a group, organization, or entity being dissolved or disbanded.
-
B.
disbandedByOrder
Indicates that an organization, group, or unit was formally dissolved as the result of an official order or directive.
-
C.
disbandmentYear
Indicates the year in which an organization, group, or entity formally ceased to exist or was dissolved.
-
D.
wasDissolvedAfter
Indicates that one entity ceased to exist or operate at a later point in time than another entity’s dissolution.
-
E.
decommissionedReason
Indicates the reason or cause for which an entity, typically an asset or system, was taken out of service or formally retired.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589e35808190aa609bb04b128dbe |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.