Triple
T10201223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exene Cervenka |
E238884
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Henry Mortensen |
E238883
|
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: Henry Mortensen | Statement: [Exene Cervenka, hasChild, Henry Mortensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Mortensen Context triple: [Exene Cervenka, hasChild, Henry Mortensen]
-
A.
Henry Mortensen
chosen
Henry Mortensen is the son of actor Viggo Mortensen and is known for his occasional appearances alongside his father in public and media.
-
B.
Flemming Christensen
Flemming Christensen is a Danish former professional footballer and coach known for his career as a forward in Danish and European clubs.
-
C.
Kim Christensen
Kim Christensen is a Danish former professional football goalkeeper known for his career in the Danish Superliga and the Swedish Allsvenskan.
-
D.
Henrik Christensen
Henrik Christensen is a prominent robotics researcher and academic known for his influential contributions to computer vision, autonomous systems, and robotics education.
-
E.
Jørn Mikkelsen
Jørn Mikkelsen is a Danish journalist best known for leading the national newspaper Jyllands-Posten as its editor-in-chief.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32afa75ec8190bbaf2e69b4ee24f1 |
completed | April 6, 2026, 3:39 a.m. |
Created at: March 30, 2026, 9:14 p.m.