Triple
T28432866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meriam Chong |
E715183
|
entity |
| Predicate | dataQualityNote |
P164721
|
FINISHED |
| Object | Some biographical details are sparse or inferred from context |
—
|
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: Some biographical details are sparse or inferred from context | Statement: [Meriam Chong, dataQualityNote, Some biographical details are sparse or inferred from context]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataQualityNote Context triple: [Meriam Chong, dataQualityNote, Some biographical details are sparse or inferred from context]
-
A.
dataQuality
Indicates that one entity assesses or characterizes the quality, accuracy, or reliability of data associated with another entity.
-
B.
fieldQuality
Indicates the assessed level or degree of quality associated with a particular field or attribute in a given context.
-
C.
storageQuality
Indicates the degree or standard of how well something is stored, such as its preservation, safety, or suitability for use.
-
D.
maintenanceNote
Indicates that there is a note or comment documenting information, instructions, or observations related to the maintenance of an entity.
-
E.
recordQuality
Indicates the assessed level or standard of quality associated with a particular record.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:41 a.m.