Triple
T38677935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DiscoVision |
E943808
|
entity |
| Predicate | originalBrandNameOf |
P21870
|
FINISHED |
| Object | LaserDisc |
E279651
|
NE 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: LaserDisc | Statement: [DiscoVision, originalBrandNameOf, LaserDisc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBrandNameOf Context triple: [DiscoVision, originalBrandNameOf, LaserDisc]
-
A.
originalBrandOf
Indicates that one entity is the initial or primary brand from which another branded entity originates or is derived.
-
B.
originalMarketingName
chosen
Indicates the original marketing or brand name under which an entity (such as a product or service) was first promoted or sold.
-
C.
primaryBrandProduced
Indicates that one entity is the main or principal brand that another entity manufactures or produces.
-
D.
formerBrand
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
E.
laterBrandOf
Indicates that one brand is a subsequent or successor brand to another, coming into use at a later time.
- F. None of above.
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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a420e04394c8190b1706a16e7f198c2 |
completed | June 29, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:33 p.m.