Triple
T32573718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasir |
E832583
|
entity |
| Predicate | likelyMedium |
P174923
|
FINISHED |
| Object | audio recording |
—
|
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: audio recording | Statement: [Nasir, likelyMedium, audio recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyMedium Context triple: [Nasir, likelyMedium, audio recording]
-
A.
likelyStatus
Indicates the probable or expected state or condition of an entity based on available information or inference.
-
B.
likelySource
Indicates that one entity is considered the probable origin or cause of another entity or event.
-
C.
likelyBehavior
Indicates the behavior or action that an entity is expected or predicted to exhibit under given circumstances.
-
D.
likelyUse
Indicates that one entity is expected or probable to use, employ, or make use of another entity in a given context.
-
E.
likelyIndicates
Indicates that one fact, observation, or condition serves as probabilistic evidence suggesting, but not guaranteeing, the presence or truth of another.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1:04 a.m.