Triple
T17942418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İbrahim Temo |
E448617
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | İbrahim Temo |
—
|
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: İbrahim Temo | Statement: [İbrahim Temo, name, İbrahim Temo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İbrahim Temo Context triple: [İbrahim Temo, name, İbrahim Temo]
-
A.
İbrahim Temo
chosen
İbrahim Temo was a prominent late Ottoman-era intellectual and political activist, best known as one of the founders of the Committee of Union and Progress and an early proponent of constitutional reform.
-
B.
Ibrahim Hyderi
Ibrahim Hyderi is a coastal fishing village and neighborhood in Karachi, Pakistan, known for its large fishing community and seafood markets.
-
C.
Hassan Kadam
Hassan Kadam is a gifted young Indian chef whose culinary talent and personal journey drive the narrative of the film "The Hundred-Foot Journey."
-
D.
Mustafa Omer
Mustafa Omer is a songwriter best known for co-writing the hit single "La La La."
-
E.
Suleiman Bakirgani
Suleiman Bakirgani was a prominent medieval Sufi mystic and poet associated with the Yasawiyya order, known for his influential spiritual teachings and devotional writings in Central Asia.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad96a9008190867fac99588c43cf |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.