Triple
T90355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James |
E1815
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Seamus |
E11097
|
NE 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: Seamus | Statement: [James, hasCognate, Seamus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seamus Context triple: [James, hasCognate, Seamus]
-
A.
Seamus
chosen
Seamus is the Irish form of the given name James, commonly used for boys in Ireland and among the Irish diaspora.
-
B.
Fergus Cullen
Fergus Cullen is an American political strategist and former chairman of the New Hampshire Republican Party.
-
C.
Guilfoyle
Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
-
D.
Donal McLaughlin
Donal McLaughlin was an American architect and industrial designer best known for creating the iconic emblem of the United Nations.
-
E.
Seán Lester
Seán Lester was an Irish diplomat best known for serving as the last Secretary-General of the League of Nations during its final years before the transition to the United Nations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24f6c29888190890caa7872d63ac6 |
completed | Feb. 28, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27c0147d481909c62cd45c8079519 |
completed | Feb. 28, 2026, 5:24 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.