Triple
T34492010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovell Health House |
E885491
|
entity |
| Predicate | ownerOccupationOfOriginalClient |
P71794
|
FINISHED |
| Object | health columnist |
—
|
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: health columnist | Statement: [Lovell Health House, ownerOccupationOfOriginalClient, health columnist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerOccupationOfOriginalClient Context triple: [Lovell Health House, ownerOccupationOfOriginalClient, health columnist]
-
A.
ownerOccupation
Indicates that the occupation or job role of an entity that owns something is being specified or described.
-
B.
originalHolderOccupation
chosen
Indicates the occupation or professional role held by the entity that originally possessed or owned another entity.
-
C.
initialOccupationStatus
Indicates the employment or occupational state an entity has at the beginning of a specified period or event.
-
D.
employerOrPrimaryClient
Indicates that one entity serves as the main employer or principal client of another entity in a work or service relationship.
-
E.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
- 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 1, 2026, 2:01 a.m.