Triple
T17586009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IMPALA |
E428323
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object |
V-trace
V-trace is an off-policy actor-critic algorithm for deep reinforcement learning that corrects for discrepancies between behavior and target policies using truncated importance sampling.
|
E1276522
|
NE FINISHED |
How this triple was built (4 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: V-trace | Statement: [IMPALA, uses, V-trace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V-trace Context triple: [IMPALA, uses, V-trace]
-
A.
Vizzy
Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
-
B.
VTR
VTR is the reporting mark used by the Vermont Railway, a regional freight railroad operating primarily in the state of Vermont.
-
C.
Vtek
Vtek is a music producer known for working with the Nigerian singer Empress.
-
D.
VolTRAX
VolTRAX is an automated sample preparation device developed by Oxford Nanopore Technologies to streamline and standardize workflows for nanopore sequencing.
-
E.
Tracer
Tracer is a time-jumping, hyper-mobile British hero and one of the most iconic playable characters in the team-based shooter game Overwatch.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: V-trace Triple: [IMPALA, uses, V-trace]
Generated description
V-trace is an off-policy actor-critic algorithm for deep reinforcement learning that corrects for discrepancies between behavior and target policies using truncated importance sampling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: V-trace Target entity description: V-trace is an off-policy actor-critic algorithm for deep reinforcement learning that corrects for discrepancies between behavior and target policies using truncated importance sampling.
-
A.
Vizzy
Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
-
B.
VTR
VTR is the reporting mark used by the Vermont Railway, a regional freight railroad operating primarily in the state of Vermont.
-
C.
Vtek
Vtek is a music producer known for working with the Nigerian singer Empress.
-
D.
VolTRAX
VolTRAX is an automated sample preparation device developed by Oxford Nanopore Technologies to streamline and standardize workflows for nanopore sequencing.
-
E.
Tracer
Tracer is a time-jumping, hyper-mobile British hero and one of the most iconic playable characters in the team-based shooter game Overwatch.
- F. None of above. chosen
Provenance (5 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d22f908190ae0f1eeafbe54459 |
completed | April 19, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddf17144819089c5795fc5f0b1e7 |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01df69ccfc81909de6d300e1d72ad1 |
completed | May 11, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e05515d88190b343ebc1aad4a351 |
completed | May 11, 2026, 1:57 p.m. |
Created at: April 10, 2026, 5:50 a.m.