Triple
T19543615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin Hart Jr. |
E488974
|
entity |
| Predicate | workplaceBehavior |
P67882
|
FINISHED |
| Object | sexual harassment |
—
|
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: sexual harassment | Statement: [Franklin Hart Jr., workplaceBehavior, sexual harassment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workplaceBehavior Context triple: [Franklin Hart Jr., workplaceBehavior, sexual harassment]
-
A.
workBehavior
chosen
Indicates how an entity typically acts, performs, or conducts itself in a work or professional context.
-
B.
workConditions
Indicates the terms, environment, and circumstances under which work or a job is performed.
-
C.
workSetting
Indicates the environment, context, or conditions in which the work or activity is carried out.
-
D.
placeInWork
Indicates that one entity is located or occurs within the spatial or structural context of another entity in a work.
-
E.
professionalEnvironment
Indicates a relationship where an entity operates, interacts, or exists within a work-related or career-oriented setting or 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e638750b288190aecdb0e18a1add62 |
completed | April 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.