Triple
T9511472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sue Johnston |
E229406
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sue Johnston |
E229406
|
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: Sue Johnston | Statement: [Sue Johnston, name, Sue Johnston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Johnston Context triple: [Sue Johnston, name, Sue Johnston]
-
A.
Sue Johnston
chosen
Sue Johnston is an English actress best known for her roles in television dramas such as "Brookside," "The Royle Family," and "Waking the Dead."
-
B.
Sue Wilkins
Sue Wilkins is a central character in Arthur C. Clarke’s science fiction novel "A Fall of Moondust," known for her role in the lunar tourism disaster that drives the story’s plot.
-
C.
Joyce Johnston
Joyce Johnston is known as the wife of American record producer Bob Johnston, who worked with major artists such as Bob Dylan and Johnny Cash.
-
D.
Sue Brown
Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
-
E.
Frances Johnston
Frances Johnston was the wife of James Iredell Jr., a governor of North Carolina and associate justice of the United States Supreme Court.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98699b788190b1a475e1b1883584 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354af200881909b08ab9b71d0d53f |
completed | April 6, 2026, 6:37 a.m. |
Created at: March 30, 2026, 7:58 p.m.