Triple
T16855109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apis cerana |
E409762
|
entity |
| Predicate | describedBy |
P264
|
FINISHED |
| Object |
Fabricius
Fabricius was an influential 18th-century Danish entomologist whose taxonomic work laid foundational classifications for many insect species.
|
E1236323
|
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: Fabricius | Statement: [Apis cerana, describedBy, Fabricius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabricius Context triple: [Apis cerana, describedBy, Fabricius]
-
A.
Fabricius
Fabricius is an ancient Roman family name (nomen) most famously borne by the statesman and general Gaius Fabricius Luscinus, noted for his integrity and opposition to corruption.
-
B.
Ataeniobius
Ataeniobius is a genus of small freshwater killifish within the family Cyprinodontidae.
-
C.
Caecus
Caecus is the cognomen of the Roman statesman Appius Claudius, famed for his political reforms and major public works such as the Via Appia and the Aqua Appia.
-
D.
Thascius
Thascius is the family name of the early Christian bishop and martyr Cyprian of Carthage.
-
E.
Mamercus
Mamercus is an ancient Roman praenomen (given name) notably used by members of the patrician gens Aemilia.
- 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: Fabricius Triple: [Apis cerana, describedBy, Fabricius]
Generated description
Fabricius was an influential 18th-century Danish entomologist whose taxonomic work laid foundational classifications for many insect species.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabricius Target entity description: Fabricius was an influential 18th-century Danish entomologist whose taxonomic work laid foundational classifications for many insect species.
-
A.
Fabricius
Fabricius is an ancient Roman family name (nomen) most famously borne by the statesman and general Gaius Fabricius Luscinus, noted for his integrity and opposition to corruption.
-
B.
Ataeniobius
Ataeniobius is a genus of small freshwater killifish within the family Cyprinodontidae.
-
C.
Caecus
Caecus is the cognomen of the Roman statesman Appius Claudius, famed for his political reforms and major public works such as the Via Appia and the Aqua Appia.
-
D.
Thascius
Thascius is the family name of the early Christian bishop and martyr Cyprian of Carthage.
-
E.
Mamercus
Mamercus is an ancient Roman praenomen (given name) notably used by members of the patrician gens Aemilia.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37c6e808190975b14b228253029 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb2337348190ae79dc4b188c94cf |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbe7e4c4819081d0bfd1ac427c49 |
completed | May 10, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc73e4e88190a8327ba48174f923 |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.