Triple
T10915896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Plunkett |
E257820
|
entity |
| Predicate | yearOfEventParticipation |
P96386
|
FINISHED |
| Object | 1916 |
—
|
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: 1916 | Statement: [Joseph Plunkett, yearOfEventParticipation, 1916]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfEventParticipation Context triple: [Joseph Plunkett, yearOfEventParticipation, 1916]
-
A.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
B.
yearOfEventSupport
Indicates the specific year in which support for a particular event occurred or was provided.
-
C.
joinedInYear
Indicates that an entity became a member of, or started participating in, another entity (such as an organization, group, or institution) in a specified calendar year.
-
D.
joinedConferenceYear
Indicates the year in which an entity became a participant or member of a particular conference.
-
E.
yearOfEventLed
Indicates the specific year in which a particular event took place or was carried out.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77074c77c8190af91369eee11f1b7 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d710400ea88190ac2ed6f0a13d62c1 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:22 p.m.