Triple
T22065684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ras Baraka |
E545262
|
entity |
| Predicate | hasSocialMediaAccount |
P2943
|
FINISHED |
| Object | @rasjbaraka |
—
|
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: @rasjbaraka | Statement: [Ras Baraka, hasSocialMediaAccount, @rasjbaraka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @rasjbaraka Context triple: [Ras Baraka, hasSocialMediaAccount, @rasjbaraka]
-
A.
@rasjbaraka
chosen
@rasjbaraka is the Twitter handle of Ras Baraka, the mayor of Newark, New Jersey and a prominent educator, activist, and political leader.
-
B.
RAJ
RAJ is the IATA airport code for Rajkot Airport, which serves the city of Rajkot in the Indian state of Gujarat.
-
C.
JBara
JBara is a software product or brand name associated with JBara Software.
-
D.
RAS
RAS is the commonly used abbreviation for the Russian Academy of Sciences, the leading state scientific institution in Russia overseeing a wide range of research disciplines.
-
E.
RAS
RAS is the commonly used abbreviation for the Royal Astronomical Society, a leading learned society dedicated to the advancement of astronomy and geophysics.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12883d2108190a6127783f8f635fc |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:27 p.m.