Triple
T27192352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Myers-Briggs Company |
E683507
|
entity |
| Predicate | licensingRole |
P15136
|
FINISHED |
| Object | publisher of official MBTI assessment |
—
|
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: publisher of official MBTI assessment | Statement: [The Myers-Briggs Company, licensingRole, publisher of official MBTI assessment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licensingRole Context triple: [The Myers-Briggs Company, licensingRole, publisher of official MBTI assessment]
-
A.
licensingComponent
Indicates that one entity serves as a licensing-related component or module within the context or operation of another entity.
-
B.
licensee
chosen
Indicates that one entity is authorized by another, through a license agreement, to use or exploit certain rights, property, or resources.
-
C.
licensorOf
Indicates that one entity grants another entity permission or rights to use, produce, or distribute something under specified terms.
-
D.
libraryRole
Indicates the specific function, responsibility, or position an entity holds within the context of a library.
-
E.
licensingRestriction
Indicates that there is a constraint or condition imposed on the use, distribution, or modification of something under a specific license.
- 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_69eefad140408190b8586fdebcf9af46 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 9:32 a.m.