Triple
T11205639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lennox Cato Antiques |
E265151
|
entity |
| Predicate | associatedProfessionOfFounder |
P97851
|
FINISHED |
| Object | antiques expert |
—
|
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: antiques expert | Statement: [Lennox Cato Antiques, associatedProfessionOfFounder, antiques expert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedProfessionOfFounder Context triple: [Lennox Cato Antiques, associatedProfessionOfFounder, antiques expert]
-
A.
coFounderOccupation
Indicates that the specified occupation is or was held by a person in their role as a co-founder of an organization.
-
B.
hasCoFounderRoleOf
Indicates that one entity holds the role or position of co-founder in relation to another entity, such as an organization or venture.
-
C.
associatedInstitutionFounder
Indicates that an entity is the founder or co-founder of a particular institution with which they are associated.
-
D.
foundedByOccupation
Indicates that an entity (such as an organization or institution) was founded by a person or group characterized by a specific occupation or professional role.
-
E.
relatedProfession
Indicates that two entities have professions that are connected or associated in some meaningful way, such as being in the same field, industry, or professional domain.
- F. None of above. chosen
Provenance (4 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d4eef88190a7f05bca82d919b9 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf83464819087529d47d025d313 |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.