Triple
T19626963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay Duddy |
E471160
|
entity |
| Predicate | memorialActivity |
P82637
|
FINISHED |
| Object | participation in Bloody Sunday commemorations |
—
|
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: participation in Bloody Sunday commemorations | Statement: [Kay Duddy, memorialActivity, participation in Bloody Sunday commemorations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorialActivity Context triple: [Kay Duddy, memorialActivity, participation in Bloody Sunday commemorations]
-
A.
commemoratesActivity
Indicates that one entity serves to honor, remember, or mark the occurrence of a particular activity or event.
-
B.
commemorativeActivities
chosen
Indicates activities carried out to honor, remember, or pay tribute to a person, event, or occasion.
-
C.
commemorativeEvent
Indicates an event held specifically to honor, remember, or mark the significance of a person, group, or past occurrence.
-
D.
commemoratesEventWith
Indicates that one entity serves as a memorial or tribute to a specific event, marking or honoring its occurrence.
-
E.
commemoratesEventOn
Indicates that one entity marks, honors, or observes a specific event on a particular date or occasion.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640eadcc48190ab5e36ddcde0c328 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.