Triple
T27064078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seán T. O'Kelly |
E685125
|
entity |
| Predicate | wasLeaderIn |
P77600
|
FINISHED |
| Object | Ireland's struggle for independence |
—
|
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: Ireland's struggle for independence | Statement: [Seán T. O'Kelly, wasLeaderIn, Ireland's struggle for independence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasLeaderIn Context triple: [Seán T. O'Kelly, wasLeaderIn, Ireland's struggle for independence]
-
A.
hadPrincipalLeader
chosen
Indicates that an entity was led or headed by a primary or chief leader.
-
B.
hasFormerLeader
Indicates that an entity previously held the role of leader of another entity but no longer does.
-
C.
hasLeaderHeldOffice
Indicates that the specified leader has occupied or served in an official office or position.
-
D.
wasWorldLeaderIn
Indicates that an entity held a position as the primary political leader of a specified country or political entity during a particular time period.
-
E.
wasTitleHeldBy
Indicates that a specific title, position, or rank was held or occupied by a particular entity (such as a person or organization).
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622e734a881908ac15e64575c69d4 |
completed | May 2, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:23 a.m.