Triple
T14061877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jochi |
E338365
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Bektutmish |
E563500
|
NE FINISHED |
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: Bektutmish | Statement: [Jochi, spouse, Bektutmish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bektutmish Context triple: [Jochi, spouse, Bektutmish]
-
A.
Gamzat-bek
Gamzat-bek was an Avar leader and Imam of Dagestan who played a key role in the early 19th-century Caucasian resistance against the Russian Empire.
-
B.
Bairam Beg
Bairam Beg, better known as Bairam Khan, was a prominent 16th-century Turkic military commander and statesman who served as regent and chief advisor to the Mughal emperor Akbar.
-
C.
Qutulmish
chosen
Qutulmish was an 11th-century Seljuk prince whose lineage gave rise to the Seljuk Sultanate of Rum through his son Suleiman ibn Qutulmish.
-
D.
Nogai
Nogai is a Turkic language spoken primarily by the Nogai people of the North Caucasus region in Russia.
-
E.
Bakhawan
Bakhawan is a coastal barangay of the municipality of Daanbantayan in Cebu, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6654850819083262f3fb981eb1a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.