Triple
T21140746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djavan |
E520918
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sina |
—
|
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: Sina | Statement: [Djavan, notableWork, Sina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sina Context triple: [Djavan, notableWork, Sina]
-
A.
Sina
chosen
Sina is a given name and surname used in various cultures, often associated with notable figures in fields such as science, arts, and media.
-
B.
Shina
Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
-
C.
Tsien
Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
-
D.
Şinasi
Şinasi is a Turkish surname most notably associated with İbrahim Şinasi, a pioneering 19th-century Ottoman-Turkish journalist, poet, and intellectual.
-
E.
Qimei
Qimei is the given name of Chen Qimei, an influential early Chinese revolutionary and close associate of Sun Yat-sen.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235f77708190809d6aa3ee8056aa |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.