Triple
T37389855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid Jonker |
E928673
|
entity |
| Predicate | hasPosthumousReputationAs |
P5766
|
FINISHED |
| Object | icon of resistance to apartheid |
—
|
LITERAL 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: icon of resistance to apartheid | Statement: [Ingrid Jonker, hasPosthumousReputationAs, icon of resistance to apartheid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPosthumousReputationAs Context triple: [Ingrid Jonker, hasPosthumousReputationAs, icon of resistance to apartheid]
-
A.
posthumousReputation
chosen
Indicates the reputation or standing attributed to a person after their death.
-
B.
posthumousRecognitionBy
Indicates that an entity receives recognition, honor, or acknowledgment from another entity after the former has died.
-
C.
isPosthumousNameOf
Indicates that one name is a posthumous title or designation that was given to and refers to a person after their death.
-
D.
isPosthumous
Indicates that something occurs, is created, or is conferred after the death of the person to whom it relates.
-
E.
isPosthumousTributeTo
Indicates that something (such as a work, event, or honor) is created or given as a tribute to a person after that person has died.
- F. None of above.
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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
Created at: May 3, 2026, 4:16 p.m.