Triple
T708606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Francis |
E14156
|
entity |
| Predicate | isFirst |
P5008
|
FINISHED |
| Object | first Jesuit pope |
—
|
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: first Jesuit pope | Statement: [Pope Francis, isFirst, first Jesuit pope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirst Context triple: [Pope Francis, isFirst, first Jesuit pope]
-
A.
firstOf
chosen
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
B.
isOldest
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
-
C.
isOldestOrderOf
Indicates that one order is the earliest or first created among a set of related orders for a given context or entity.
-
D.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
E.
hasInitial
Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f0217081908268b3f47e72f8df |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.