Triple
T9706227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Callitrichidae |
E234905
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object |
Cebuella
Cebuella is a genus of tiny New World marmosets best known for including the pygmy marmoset, one of the smallest primates in the world.
|
E815503
|
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: Cebuella | Statement: [Callitrichidae, includesGenus, Cebuella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cebuella Context triple: [Callitrichidae, includesGenus, Cebuella]
-
A.
Nasuella
Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
-
B.
Pongo
Pongo is the nickname of Pongo Twistleton, a comic character from P. G. Wodehouse’s stories, particularly known for his misadventures with his Uncle Fred.
-
C.
Pongo
Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
-
D.
Pongo
Pongo is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
E.
Pongo
Pongo is the genus of great apes commonly known as orangutans, native to the rainforests of Borneo and Sumatra.
- 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: Cebuella Triple: [Callitrichidae, includesGenus, Cebuella]
Generated description
Cebuella is a genus of tiny New World marmosets best known for including the pygmy marmoset, one of the smallest primates in the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cebuella Target entity description: Cebuella is a genus of tiny New World marmosets best known for including the pygmy marmoset, one of the smallest primates in the world.
-
A.
Nasuella
Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
-
B.
Pongo
Pongo is the nickname of Pongo Twistleton, a comic character from P. G. Wodehouse’s stories, particularly known for his misadventures with his Uncle Fred.
-
C.
Pongo
Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
-
D.
Pongo
Pongo is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
E.
Pongo
Pongo is the genus of great apes commonly known as orangutans, native to the rainforests of Borneo and Sumatra.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da369b4819081f6ce01289ed725 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1913aa6e4819081964cf9bcf24fca |
completed | April 4, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d193150c00819080ed0fbb050b60bf |
completed | April 4, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19416efd48190865d0178e5e893fa |
completed | April 4, 2026, 10:43 p.m. |
Created at: March 30, 2026, 8:19 p.m.