Triple
T34339094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulse |
E881232
|
entity |
| Predicate | hasPhysicalGimmick |
P66036
|
FINISHED |
| Object | blinking LED on CD spine |
—
|
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: blinking LED on CD spine | Statement: [Pulse, hasPhysicalGimmick, blinking LED on CD spine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalGimmick Context triple: [Pulse, hasPhysicalGimmick, blinking LED on CD spine]
-
A.
associatedWithGimmick
Indicates that one entity is connected or linked to a particular gimmick, typically as a defining feature, strategy, or promotional element.
-
B.
hasEntranceGimmick
Indicates that an entity features a distinctive or notable gimmick, stunt, or special element associated with its entrance or initial appearance.
-
C.
gimmick
Indicates that an entity uses or features a novel, attention-grabbing trick or device primarily intended to attract interest rather than provide substantive value.
-
D.
hasGadget
chosen
Indicates that an entity possesses, uses, or is equipped with a particular gadget.
-
E.
isPhysicalTrophy
Indicates that the related entity is a tangible, physical trophy object rather than a digital or abstract award.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:58 a.m.