Triple
T23766011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Henslowe |
E587378
|
entity |
| Predicate | recordedInDiary |
P9348
|
FINISHED |
| Object | payments to playwrights |
—
|
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: payments to playwrights | Statement: [Philip Henslowe, recordedInDiary, payments to playwrights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedInDiary Context triple: [Philip Henslowe, recordedInDiary, payments to playwrights]
-
A.
diaryWrittenIn
Indicates that a diary is composed or recorded using a particular language or writing system.
-
B.
diaryLocation
Indicates the place where a diary is kept, stored, or situated.
-
C.
wroteIn
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
-
D.
spouseDiaryNote
Indicates that one person has written a diary note or entry specifically about their spouse or marital relationship.
-
E.
recorded
chosen
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb5b0408190b46661d80e37b509 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.