Triple
T14267724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Hirsch |
E353691
|
entity |
| Predicate | hasOnScreenDynamic |
P113500
|
FINISHED |
| Object | mentor-mentee relationship with Tom Wambsgans |
—
|
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: mentor-mentee relationship with Tom Wambsgans | Statement: [Greg Hirsch, hasOnScreenDynamic, mentor-mentee relationship with Tom Wambsgans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnScreenDynamic Context triple: [Greg Hirsch, hasOnScreenDynamic, mentor-mentee relationship with Tom Wambsgans]
-
A.
hasOnscreenFunction
Indicates that an entity serves a particular role or performs a specific function when it appears on screen.
-
B.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
C.
hasDynamics
Indicates that one entity exhibits or is characterized by specific dynamic behavior, changes, or variations over time in relation to another entity or context.
-
D.
isPartOfDynamically
Indicates that one entity is currently a component or member of another entity in a way that can change over time or at runtime.
-
E.
hasTopScreenSize
Indicates that an entity (typically a device) possesses a top screen with a specified size or dimension.
- F. None of above. chosen
Provenance (4 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.