Triple
T19828946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jena Malone |
E476403
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Johanna Mason |
—
|
NE NERFINISHED |
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: Johanna Mason | Statement: [Jena Malone, portrayed, Johanna Mason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johanna Mason Context triple: [Jena Malone, portrayed, Johanna Mason]
-
A.
Johanna Mason
chosen
Johanna Mason is a fierce, sharp-tongued victor from a later Hunger Games who becomes one of Katniss Everdeen’s most complex and rebellious allies in Suzanne Collins’ series.
-
B.
Rebecca Mason
Rebecca Mason is the mother of Ben Mason, known primarily in relation to him.
-
C.
Johanna Dalton
Johanna Dalton is known as the wife of Irish politician and former Labour Party leader John Redmond.
-
D.
Sarah Maria Mason
Sarah Maria Mason was the wife of English miniature painter Samuel Cooper, known primarily through her association with the prominent 17th-century artist.
-
E.
Johanna Chandler
Johanna Chandler was a 19th-century British philanthropist and reformer best known for founding what became the National Hospital for Neurology and Neurosurgery in London to care for patients with neurological disorders.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ccd3748190adeaed9a431f8979 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.