Triple
T16744843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P. J. Soles |
E406924
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object | Stella Hansen |
E1170781
|
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: Stella Hansen | Statement: [P. J. Soles, role, Stella Hansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Hansen Context triple: [P. J. Soles, role, Stella Hansen]
-
A.
MP Stella Hansen
chosen
MP Stella Hansen is a fictional British Member of Parliament who serves as the romantic interest of John Winger in the work where they appear.
-
B.
Marianne Stenshagen
Marianne Stenshagen is a Norwegian speed skater who has competed at the international level representing Norway.
-
C.
Astrid Hofferson
Astrid Hofferson is a brave and skilled Viking warrior and dragon rider from the "How to Train Your Dragon" franchise, known as Hiccup's close friend and eventual love interest.
-
D.
Jane Hansen
Jane Hansen is known as the wife of legendary American composer and songwriter Burt Bacharach.
-
E.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa210ef88190be74bd60d7144953 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51e69c08190a5bff74823df430c |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.