Triple
T28814605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Mannix |
E727607
|
entity |
| Predicate | wasDeanOf |
P81435
|
FINISHED |
| Object | Maynooth College |
—
|
NE NERFINISHED |
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: Maynooth College | Statement: [Daniel Mannix, wasDeanOf, Maynooth College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasDeanOf Context triple: [Daniel Mannix, wasDeanOf, Maynooth College]
-
A.
deanOfCollegeOfCardinals
Indicates that one entity serves as the Dean (presiding head) of the College of Cardinals to which the other entity refers.
-
B.
foundingChancellor
Indicates that a person served as the first (original) chancellor at the founding of an institution or organization.
-
C.
formerAcademicOccupant
chosen
Indicates that an entity previously held an academic position or role at a particular institution or location but no longer does so.
-
D.
hasCathedralDean
Indicates that a specified person serves as the dean (chief cleric/administrator) of a particular cathedral.
-
E.
hasViceChancellor
Indicates that one entity serves as the vice chancellor of another entity.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658f270d88190a183a3eda5c649ff |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:32 a.m.