Triple
T20409866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toukan family |
E500559
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Toukan |
—
|
NE NERFINISHED |
How this triple was built (2 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: Toukan | Statement: [Toukan family, familyName, Toukan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toukan Context triple: [Toukan family, familyName, Toukan]
-
A.
Toukan
chosen
Toukan is a Jordanian family name associated with notable figures in the country’s political and social life.
-
B.
Noatak
Noatak is a remote Inupiat village in northwestern Alaska situated along the Noatak River above the Arctic Circle.
-
C.
Tamaskan
The Tamaskan is a rare, relatively new dog breed developed to resemble a wolf while maintaining the temperament and trainability of a domestic companion.
-
D.
Keetoowah
Keetoowah refers to the traditional cultural and spiritual identity of a historic Cherokee community, often associated with conservative, tradition-keeping Cherokee people and practices.
-
E.
Bodoque
Bodoque is a Muppet-style character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for appearing in educational segments for children.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.