Triple
T16318488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhabditidae |
E396231
|
entity |
| Predicate | includesTaxon |
P1393
|
FINISHED |
| Object |
Steinernema
Steinernema is a genus of entomopathogenic nematodes widely used in biological control to infect and kill insect pests.
|
E1215188
|
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: Steinernema | Statement: [Rhabditidae, includesTaxon, Steinernema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinernema Context triple: [Rhabditidae, includesTaxon, Steinernema]
-
A.
Heterorhabditis
Heterorhabditis is a genus of entomopathogenic nematodes used as biological control agents against insect pests.
-
B.
Rhabditis
Rhabditis is a genus of small, free-living or occasionally parasitic nematode worms commonly found in soil and decaying organic matter.
-
C.
Mesorhabditis
Mesorhabditis is a genus of small, free-living nematode worms commonly found in soil and decaying organic matter.
-
D.
Lawsonella
Lawsonella is a bacterial genus within the order Corynebacteriales, comprising Gram-positive, often opportunistic species associated with human infections.
-
E.
Caenorhabditis remanei
Caenorhabditis remanei is a free-living, sexually reproducing nematode widely used as a model organism in evolutionary and developmental biology.
- 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: Steinernema Triple: [Rhabditidae, includesTaxon, Steinernema]
Generated description
Steinernema is a genus of entomopathogenic nematodes widely used in biological control to infect and kill insect pests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steinernema Target entity description: Steinernema is a genus of entomopathogenic nematodes widely used in biological control to infect and kill insect pests.
-
A.
Heterorhabditis
Heterorhabditis is a genus of entomopathogenic nematodes used as biological control agents against insect pests.
-
B.
Rhabditis
Rhabditis is a genus of small, free-living or occasionally parasitic nematode worms commonly found in soil and decaying organic matter.
-
C.
Mesorhabditis
Mesorhabditis is a genus of small, free-living nematode worms commonly found in soil and decaying organic matter.
-
D.
Lawsonella
Lawsonella is a bacterial genus within the order Corynebacteriales, comprising Gram-positive, often opportunistic species associated with human infections.
-
E.
Caenorhabditis remanei
Caenorhabditis remanei is a free-living, sexually reproducing nematode widely used as a model organism in evolutionary and developmental biology.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b3e3e081908a996b3e57ca4e32 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3d8f188190969b75d82c6b13f0 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050c5d4548190a674c1c19f08a9fd |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051a7ae208190b33d42cc8d4bb21f |
completed | May 10, 2026, 9:36 a.m. |
Created at: April 10, 2026, 5:06 a.m.