Triple
T24915960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Lowe |
E623983
|
entity |
| Predicate | partnerInProfessionalCapacity |
P155703
|
FINISHED |
| Object | Carol Channing |
—
|
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: Carol Channing | Statement: [Charles Lowe, partnerInProfessionalCapacity, Carol Channing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInProfessionalCapacity Context triple: [Charles Lowe, partnerInProfessionalCapacity, Carol Channing]
-
A.
partnerInProfession
Indicates that two or more entities share a professional partnership or collaborate together within the same occupation or field.
-
B.
partnerInCareerOf
Indicates a relationship where one entity is a professional or career partner of another, collaborating or sharing a joint career path or venture.
-
C.
partnerInWorkOf
Indicates a collaborative relationship where one entity works together with another on a shared task, project, or professional activity.
-
D.
partnerInBusinessOrProjects
Indicates that two entities collaborate as partners in a business venture or joint project, sharing responsibilities, risks, and/or benefits.
-
E.
hasProfessionalRelationshipWith
chosen
Indicates a formal, work-related connection or collaboration exists between the two entities in a professional context.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:28 a.m.