Triple
T11466567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corynebacteriales |
E271794
|
entity |
| Predicate | taxonAuthor |
P7386
|
FINISHED |
| Object |
Mordarski
Mordarski is a taxonomist credited with formally describing and classifying bacterial taxa within the order Corynebacteriales.
|
E928057
|
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: Mordarski | Statement: [Corynebacteriales, taxonAuthor, Mordarski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mordarski Context triple: [Corynebacteriales, taxonAuthor, Mordarski]
-
A.
Mardaric
Mardaric is a minor river in southeastern France that serves as one of the tributaries feeding the Bléone River.
-
B.
Modrow
Modrow is a German surname most notably associated with Hans Modrow, the last communist premier of East Germany.
-
C.
Smidovich
Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
-
D.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
-
E.
Maurusz
Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
- 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: Mordarski Triple: [Corynebacteriales, taxonAuthor, Mordarski]
Generated description
Mordarski is a taxonomist credited with formally describing and classifying bacterial taxa within the order Corynebacteriales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mordarski Target entity description: Mordarski is a taxonomist credited with formally describing and classifying bacterial taxa within the order Corynebacteriales.
-
A.
Mardaric
Mardaric is a minor river in southeastern France that serves as one of the tributaries feeding the Bléone River.
-
B.
Modrow
Modrow is a German surname most notably associated with Hans Modrow, the last communist premier of East Germany.
-
C.
Smidovich
Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
-
D.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
-
E.
Maurusz
Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9429a308190810b485708d28617 |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f1593c2c8190885f80ad5eeba3ec |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f87bbd988190ac388a3c34b2e95a |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.