Triple
T10392795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knowing Me, Knowing You |
E244931
|
entity |
| Predicate | chartPositionZimbabwe |
P93958
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Knowing Me, Knowing You, chartPositionZimbabwe, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionZimbabwe Context triple: [Knowing Me, Knowing You, chartPositionZimbabwe, 1]
-
A.
chartPositionRhodesia
Indicates the chart ranking or position achieved in Rhodesia for the item in question.
-
B.
chartPositionSouthAfrica
Indicates the position or ranking something holds on a chart or listing specifically within South Africa.
-
C.
countryStatusInZimbabwe
Indicates the legal or diplomatic status that an entity holds within or in relation to Zimbabwe.
-
D.
statusInZimbabwe
Indicates the legal, social, or official standing or condition that an entity holds within the context of Zimbabwe.
-
E.
chartPositionAustralia
Indicates the position or ranking of something on a music or sales chart specifically within Australia.
- F. None of above. chosen
Provenance (4 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b6c750819087678bf81a3ef806 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:06 p.m.