Triple
T31172223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Ellen Terry |
E794640
|
entity |
| Predicate | partnerInBusinessOrTheatre |
P141436
|
FINISHED |
| Object | Henry Irving |
—
|
NE NERFINISHED |
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: Henry Irving | Statement: [Alice Ellen Terry, partnerInBusinessOrTheatre, Henry Irving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInBusinessOrTheatre Context triple: [Alice Ellen Terry, partnerInBusinessOrTheatre, Henry Irving]
-
A.
partnerInActWith
Indicates that two or more entities jointly participate as partners in carrying out the same act or action.
-
B.
partnerInProfession
Indicates that two or more entities share a professional partnership or collaborate together within the same occupation or field.
-
C.
partnerInWorkOf
Indicates a collaborative relationship where one entity works together with another on a shared task, project, or professional activity.
-
D.
partnerInBusinessOrProjects
chosen
Indicates that two entities collaborate as partners in a business venture or joint project, sharing responsibilities, risks, and/or benefits.
-
E.
partnerInProductionCompanyWith
Indicates that two entities are business partners together in operating or owning the same production company.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 9:07 p.m.