Triple
T4566331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Henrietta's Men |
E121917
|
entity |
| Predicate | performedForAudience |
P42947
|
FINISHED |
| Object | London public theatre audience |
—
|
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: London public theatre audience | Statement: [Queen Henrietta's Men, performedForAudience, London public theatre audience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedForAudience Context triple: [Queen Henrietta's Men, performedForAudience, London public theatre audience]
-
A.
performedTo
chosen
Indicates that an action or performance is directed toward or carried out on a particular entity.
-
B.
performedWith
Indicates that an action or activity is carried out using, accompanied by, or in conjunction with a specified entity or instrument.
-
C.
writesForAudience
Indicates that an agent creates written content intended specifically for a particular audience or readership.
-
D.
performedImpressionOf
Indicates that one entity imitated or mimicked another entity, typically reproducing their voice, mannerisms, or style as a performance.
-
E.
performedSongFor
Indicates that one entity performed a song specifically for another entity as the intended audience or recipient.
- 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.