Triple
T37759620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khakaure |
E941222
|
entity |
| Predicate | positionInTitulary |
P91862
|
FINISHED |
| Object | prenomen (throne name) |
—
|
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: prenomen (throne name) | Statement: [Khakaure, positionInTitulary, prenomen (throne name)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInTitulary Context triple: [Khakaure, positionInTitulary, prenomen (throne name)]
-
A.
titularyPosition
chosen
Indicates that one entity holds a formal or ceremonial title or position in relation to another entity.
-
B.
positionInRegalia
Indicates the specific role or rank an individual holds within a formal regalia or ceremonial order.
-
C.
isTitularChurchTitleOf
Indicates that a given church serves as the official titular church associated with a particular cardinal’s title.
-
D.
rankInRomanCatholicChurch
Indicates that one entity holds a specific hierarchical or clerical position within the structure of the Roman Catholic Church in relation to another entity.
-
E.
positionInMagisterium
Indicates that one entity holds a specific office, rank, or role within the magisterial teaching authority structure of another entity (typically a church or religious institution).
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe8ebe9fc8190b1934a3c4074370c |
completed | May 10, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69ffe83a5de88190bed3e8bac86e8760 |
completed | May 10, 2026, 2:06 a.m. |
Created at: May 3, 2026, 4:19 p.m.