Triple
T15982963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariad Pharmaceuticals |
E387618
|
entity |
| Predicate | employeeType |
P11881
|
FINISHED |
| Object | scientists and researchers |
—
|
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: scientists and researchers | Statement: [Ariad Pharmaceuticals, employeeType, scientists and researchers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employeeType Context triple: [Ariad Pharmaceuticals, employeeType, scientists and researchers]
-
A.
employmentType
Indicates the specific kind or category of employment relationship that exists between an individual and an employer (e.g., full-time, part-time, contract).
-
B.
representedEmployeeType
Indicates that one entity serves as a representative or exemplar of a particular type or category of employee for another entity.
-
C.
personnelType
chosen
Indicates the classification or role category assigned to a person within an organization or system.
-
D.
employerType
Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
-
E.
employeeRight
Indicates that an employee holds a specific right, entitlement, or privilege within an employment or workplace 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.