Triple
T23098449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rashaan Salaam |
E575960
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Salaam |
—
|
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: Salaam | Statement: [Rashaan Salaam, familyName, Salaam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salaam Context triple: [Rashaan Salaam, familyName, Salaam]
-
A.
Salam
chosen
Salam is a common Arabic-origin surname borne by numerous individuals across the world, including notable figures in science, politics, and the arts.
-
B.
Assalah
Assalah is a residential and beachside neighborhood in the Egyptian resort town of Dahab on the Sinai Peninsula.
-
C.
As-Salam
As-Salam is one of the names of God in Islam, signifying "The Source of Peace" and embodying divine safety, harmony, and well-being.
-
D.
Shalom
Shalom is a Hebrew given name commonly used in Jewish communities, meaning "peace" and often symbolizing harmony and well-being.
-
E.
Lasalimu
Lasalimu is a coastal town and district in Southeast Sulawesi, Indonesia, known as a local administrative and transit area in the region.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de71a088190b91918e6c4ea6e97 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:57 p.m.