Triple
T20379424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara’s Ole Man |
E497781
|
entity |
| Predicate | originalLanguageCommunity |
P5562
|
FINISHED |
| Object | African American community |
—
|
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: African American community | Statement: [Clara’s Ole Man, originalLanguageCommunity, African American community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLanguageCommunity Context triple: [Clara’s Ole Man, originalLanguageCommunity, African American community]
-
A.
originalLanguageText
Indicates that a text is expressed in its original, untranslated language.
-
B.
originalLanguageContext
Indicates the language in which something was first created or expressed, providing the original linguistic context for its content or meaning.
-
C.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
D.
originalLanguageStatus
Indicates the status or condition of something with respect to its original language (e.g., whether it is in, derived from, or altered from the language in which it was first created).
-
E.
originCommunity
Indicates the community, group, or locality from which an entity originally comes or is derived.
- F. None of above.
Provenance (3 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678af651c8190b4922294a937e699 |
completed | April 20, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:27 a.m.