Triple
T10353966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamal Malik |
E243949
|
entity |
| Predicate | eachQuestionLinkedTo |
P93830
|
FINISHED |
| Object | specific memory from his life |
—
|
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: specific memory from his life | Statement: [Jamal Malik, eachQuestionLinkedTo, specific memory from his life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eachQuestionLinkedTo Context triple: [Jamal Malik, eachQuestionLinkedTo, specific memory from his life]
-
A.
askedAboutBy
Indicates that one entity is the subject of a question or inquiry made by another entity.
-
B.
relatedQuestion
Indicates that one question is connected to another by topic, context, or relevance, suggesting they are meaningfully associated.
-
C.
associatedSurvey
Indicates a relationship where one entity is linked or connected to a specific survey, typically as the survey that applies to, evaluates, or is used in conjunction with that entity.
-
D.
questionedIn
Indicates that one entity is the subject of questions or interrogation conducted by another entity, typically in a formal or investigative context.
-
E.
linkedPractice
Indicates that one practice is associated or connected to another practice in a meaningful or relevant way.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e952c878819084e5d7a593a3f9e9 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
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, 11:58 a.m.