Triple
T38677974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DiscoVision |
E943808
|
entity |
| Predicate | laserTypeUsed |
P20487
|
FINISHED |
| Object | helium-neon laser in early players |
—
|
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: helium-neon laser in early players | Statement: [DiscoVision, laserTypeUsed, helium-neon laser in early players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laserTypeUsed Context triple: [DiscoVision, laserTypeUsed, helium-neon laser in early players]
-
A.
usesLaserType
chosen
Indicates that one entity employs or operates a specific type or category of laser in performing an action or function.
-
B.
usesLaser
Indicates that one entity employs or operates a laser in relation to another entity or context.
-
C.
laserColor
Indicates the color attribute associated with a laser in the relationship or action.
-
D.
laserEnergyPerShot
Indicates the amount of energy released by a laser in a single shot or pulse.
-
E.
typeOfEquipmentUsed
Indicates that a particular piece or category of equipment is utilized in performing a specific action, process, or activity.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.