Triple
T7662814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Slovo |
E173548
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Shawn Slovo |
E48062
|
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: Shawn Slovo | Statement: [Joe Slovo, child, Shawn Slovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shawn Slovo Context triple: [Joe Slovo, child, Shawn Slovo]
-
A.
Joe Slovo
Joe Slovo was a prominent South African anti-apartheid activist, leader of the South African Communist Party, and key figure in the African National Congress’s armed struggle.
-
B.
Robyn Slovo
chosen
Robyn Slovo is a South African-born film producer known for her work on acclaimed dramas and literary adaptations, including the 2011 espionage thriller "Tinker Tailor Soldier Spy."
-
C.
Malcolm Cooke
Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
-
D.
Bob Black
Bob Black is an American anarchist writer and social critic best known for his essay "The Abolition of Work" and his critiques of contemporary capitalism and leftist politics.
-
E.
Ted Grant
Ted Grant is a DC Comics superhero better known as Wildcat, a former heavyweight boxing champion who becomes a costumed crime-fighter and mentor to younger heroes.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a74a2c81909f78ab2de7ce807c |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a2206664819085c6825e63eadd6f |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 3:59 p.m.