Triple
T7576808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timaliidae |
E179379
|
entity |
| Predicate | hasMemberGenus |
P7638
|
FINISHED |
| Object |
Cyanoderma
Cyanoderma is a genus of small insectivorous passerine birds commonly known as babblers, found mainly in forested regions of South and Southeast Asia.
|
E673379
|
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: Cyanoderma | Statement: [Timaliidae, hasMemberGenus, Cyanoderma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyanoderma Context triple: [Timaliidae, hasMemberGenus, Cyanoderma]
-
A.
Dermide
Dermide was the short-lived son of French general Charles Leclerc and Pauline Bonaparte, making him a nephew of Napoleon Bonaparte.
-
B.
El Milia
El Milia is a town and commune in northeastern Algeria known as one of the main urban centers of Jijel Province.
-
C.
Leigh-Mallory
Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
-
D.
Netherton
Netherton is a suburban area within the Metropolitan Borough of Sefton in Merseyside, England.
-
E.
Liasis
Liasis is a genus of nonvenomous pythons native primarily to Australia and New Guinea, known for medium to large constricting snakes such as the olive python.
- 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: Cyanoderma Triple: [Timaliidae, hasMemberGenus, Cyanoderma]
Generated description
Cyanoderma is a genus of small insectivorous passerine birds commonly known as babblers, found mainly in forested regions of South and Southeast Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cyanoderma Target entity description: Cyanoderma is a genus of small insectivorous passerine birds commonly known as babblers, found mainly in forested regions of South and Southeast Asia.
-
A.
Dermide
Dermide was the short-lived son of French general Charles Leclerc and Pauline Bonaparte, making him a nephew of Napoleon Bonaparte.
-
B.
El Milia
El Milia is a town and commune in northeastern Algeria known as one of the main urban centers of Jijel Province.
-
C.
Leigh-Mallory
Leigh-Mallory is the surname of a prominent British military family, most notably borne by Air Chief Marshal Trafford Leigh-Mallory, a senior Royal Air Force commander during the Second World War.
-
D.
Netherton
Netherton is a suburban area within the Metropolitan Borough of Sefton in Merseyside, England.
-
E.
Liasis
Liasis is a genus of nonvenomous pythons native primarily to Australia and New Guinea, known for medium to large constricting snakes such as the olive python.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94b7d5c81909d246845f922d969 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856edb2088190939cee9c5a419c11 |
completed | March 28, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69c857bcb7088190baf390d63e0941d4 |
completed | March 28, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8582cd3d08190811b7e5b1f98a28c |
completed | March 28, 2026, 10:37 p.m. |
Created at: March 27, 2026, 3:51 p.m.