Triple
T30482329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony MDR-Z1R |
E775617
|
entity |
| Predicate | seriesCompanionProduct |
P133719
|
FINISHED |
| Object | Sony IER-Z1R |
—
|
NE NERFINISHED |
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: Sony IER-Z1R | Statement: [Sony MDR-Z1R, seriesCompanionProduct, Sony IER-Z1R]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesCompanionProduct Context triple: [Sony MDR-Z1R, seriesCompanionProduct, Sony IER-Z1R]
-
A.
seriesIncludes
Indicates that a particular series contains or encompasses the referenced item as one of its constituent parts.
-
B.
hasSeriesCompanions
chosen
Indicates that one entity is accompanied by or associated with other entities as companions within the same series.
-
C.
associatedCatalogSeries
Indicates that one entity is linked to a catalog series with which it is grouped, classified, or otherwise contextually connected.
-
D.
hasCompanionBook
Indicates that one entity (typically a primary work) is associated with another entity that serves as its companion book, providing supplementary or related content.
-
E.
worksInSeriesWith
Indicates that one entity collaborates or participates together with another entity within the same series or serialized work.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 29, 2026, 8:13 p.m.