Triple
T37882366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack FM |
E944899
|
entity |
| Predicate | heardIn |
P99033
|
FINISHED |
| Object | multiple Canadian cities |
—
|
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: multiple Canadian cities | Statement: [Jack FM, heardIn, multiple Canadian cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heardIn Context triple: [Jack FM, heardIn, multiple Canadian cities]
-
A.
heardBy
Indicates that a sound, message, or communication produced by one entity is perceived or received auditorily by another entity.
-
B.
isHeardIn
chosen
Indicates that a sound, voice, or audio from one entity is perceived or audible within the context, location, or medium of another entity.
-
C.
heard
Indicates that one entity perceived a sound produced by another entity or source through hearing.
-
D.
hearsFrom
Indicates that one entity receives information, communication, or a message from another entity.
-
E.
hears
Indicates that one entity perceives or detects sounds produced by another entity or source.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.