Triple
T16174822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rémi Ochlik Award |
E392535
|
entity |
| Predicate | hasCommemorationAspect |
P44944
|
FINISHED |
| Object | memorial award |
—
|
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: memorial award | Statement: [Rémi Ochlik Award, hasCommemorationAspect, memorial award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommemorationAspect Context triple: [Rémi Ochlik Award, hasCommemorationAspect, memorial award]
-
A.
hasCommemorationFunction
Indicates that something serves the role or purpose of commemorating an event, person, group, or concept.
-
B.
hasCommemorationScope
Indicates the scope or extent of what is being commemorated in a commemoration-related relationship or event.
-
C.
includesCommemoration
Indicates that one entity contains, incorporates, or features a commemoration of another entity, event, or person.
-
D.
previouslyCommemoratedBy
Indicates that an entity was honored or remembered in the past through a specific commemorative act, object, or event.
-
E.
commemorativeRelation
chosen
Indicates a relationship where one entity serves to honor, remember, or memorialize another entity, event, or person.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21ebab54c81908d82dd6a26c406c2 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.