Triple
T22726633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Street |
E562011
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | السكرية |
—
|
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: السكرية | Statement: [Sugar Street, originalTitle, السكرية]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: السكرية Context triple: [Sugar Street, originalTitle, السكرية]
-
A.
السكرية
chosen
السكرية هي رواية عربية شهيرة للكاتب المصري نجيب محفوظ تُعد الجزء الثالث من ثلاثية القاهرة وتتناول تحولات المجتمع المصري عبر حكاية أسرة عبد الجواد.
-
B.
Sakkarin
Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
-
C.
Sweeting
Sweeting is a surname most notably associated with Bahamian-born American former professional tennis player Ryan Sweeting.
-
D.
Zucker
Zucker is a surname most prominently associated with American filmmaker Jerry Zucker, known for directing hit comedies such as "Airplane!" and "Ghost."
-
E.
Sugar
Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1792a2ee48190bfbdde1a72adfd25 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.