Triple
T20005935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child of Deaf Adults |
E494460
|
entity |
| Predicate | CODAInternationalType |
P138333
|
FINISHED |
| Object | nonprofit organization |
—
|
LITERAL FINISHED |
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: nonprofit organization | Statement: [Child of Deaf Adults, CODAInternationalType, nonprofit organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CODAInternationalType Context triple: [Child of Deaf Adults, CODAInternationalType, nonprofit organization]
-
A.
coProductionType
Indicates the specific nature or category of a collaborative production relationship between multiple producing entities.
-
B.
hasSingingVoiceType
Indicates the specific category or classification of a person's singing voice (such as soprano, tenor, etc.) in relation to that person.
-
C.
distributedFilmType
Indicates that a film was distributed in a particular format or category of distribution.
-
D.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
E.
featuresCastType
Indicates that one entity includes or highlights a particular type or category of cast (e.g., actors or performers) associated with it.
- F. None of above. chosen
Provenance (4 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a57ef881909115c8aa232b1012 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:33 p.m.