Triple
T18902134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mode series |
E462361
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
DoOon Mode
DoOon Mode is an installment in the Mode series, likely a distinct themed variation or episode within that broader creative franchise.
|
E1348181
|
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: DoOon Mode | Statement: [Mode series, hasPart, DoOon Mode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DoOon Mode Context triple: [Mode series, hasPart, DoOon Mode]
-
A.
Drymodes
Drymodes is a genus of Australasian robins, medium-sized insectivorous passerine birds native to forested habitats in Australia and nearby regions.
-
B.
ONNED
ONNED is the youth organization affiliated with Greece’s center-right New Democracy party, engaging young people in its political activities and ideology.
-
C.
OON
OON is the post-nominal title for a national honor awarded as an Officer of the Order of the Niger in Nigeria.
-
D.
OON
OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
-
E.
ONN
ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
- 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: DoOon Mode Triple: [Mode series, hasPart, DoOon Mode]
Generated description
DoOon Mode is an installment in the Mode series, likely a distinct themed variation or episode within that broader creative franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DoOon Mode Target entity description: DoOon Mode is an installment in the Mode series, likely a distinct themed variation or episode within that broader creative franchise.
-
A.
Drymodes
Drymodes is a genus of Australasian robins, medium-sized insectivorous passerine birds native to forested habitats in Australia and nearby regions.
-
B.
ONNED
ONNED is the youth organization affiliated with Greece’s center-right New Democracy party, engaging young people in its political activities and ideology.
-
C.
OON
OON is the post-nominal title for a national honor awarded as an Officer of the Order of the Niger in Nigeria.
-
D.
OON
OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
-
E.
ONN
ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582bc878c8190bfb5f058aa272225 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a05871baa5881908c3c0f407b2d82c0 |
completed | May 14, 2026, 8:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0587acbf1c819088bae20aa89783eb |
completed | May 14, 2026, 8:28 a.m. |
Created at: April 10, 2026, 11:58 a.m.