Triple
T37577561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dante Hicks |
E934865
|
entity |
| Predicate | workplaceRelationship |
P20699
|
FINISHED |
| Object | co-worker of Randal Graves |
—
|
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: co-worker of Randal Graves | Statement: [Dante Hicks, workplaceRelationship, co-worker of Randal Graves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workplaceRelationship Context triple: [Dante Hicks, workplaceRelationship, co-worker of Randal Graves]
-
A.
basedOnWorkRelationship
Indicates that one entity is derived from, adapted from, or otherwise created on the basis of another underlying work.
-
B.
employerRelationship
Indicates a relationship in which one entity acts as the employer of another, having authority to hire, direct, and compensate the other party for work performed.
-
C.
workRelatedTo
chosen
Indicates a relationship where one entity’s work, tasks, or professional activities are connected, associated, or relevant to those of another entity.
-
D.
hasRelationshipToWork
Indicates a relationship where an entity has a specific connection, role, or association with a particular work or piece of work.
-
E.
hasFamilyRelationInWork
Indicates that there exists a family relationship between two entities within the context of a specific work (e.g., book, film, or other creative work).
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.