Triple
T8851800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Maximillian |
E210653
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Prince Christopher |
E758871
|
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: Prince Christopher | Statement: [King Maximillian, hasChild, Prince Christopher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Christopher Context triple: [King Maximillian, hasChild, Prince Christopher]
-
A.
Prince Christopher
chosen
Prince Christopher is a royal family member known primarily as the son of Queen Constantina.
-
B.
Prince Christopher
Prince Christopher is the charming royal love interest of Cinderella in the 1997 Rodgers and Hammerstein musical film adaptation.
-
C.
Henricus
Henricus was a medieval Roman Catholic bishop who served as the ecclesiastical leader of the Diocese of Gardar in Greenland.
-
D.
Henricus
Henricus was an early 17th-century English colonial settlement in Virginia, established as one of the first permanent towns in North America.
-
E.
Christian, Prince-Elect of Denmark
Christian, Prince-Elect of Denmark was a 17th-century Danish royal prince, designated heir to the throne but who died before succeeding, and a son of King Christian IV.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c3c5548190926e374bbe592180 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08c3f0081909a9aad5599f7deb2 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:49 p.m.