Triple
T4494874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baki |
E100669
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mahmud |
E439438
|
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: Mahmud | Statement: [Baki, givenName, Mahmud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahmud Context triple: [Baki, givenName, Mahmud]
-
A.
Mahmud
chosen
Mahmud is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
-
B.
Sultan Mahmud
Sultan Mahmud was an Ottoman naval vessel that took part in the 1827 Battle of Navarino during the Greek War of Independence.
-
C.
Al Mahmud
Al Mahmud was a prominent Bangladeshi poet and novelist renowned for his modernist style and powerful depictions of rural life, nationalism, and the Liberation War in Bengali literature.
-
D.
Ala al-Din Husayn
Ala al-Din Husayn was a 12th-century Ghurid ruler in present-day Afghanistan who significantly expanded his dynasty’s power and laid the foundations for its later prominence in the Islamic world.
-
E.
Sabuktigin
Sabuktigin was a Turkic slave-turned-military commander who founded the Ghaznavid dynasty in the late 10th century, laying the groundwork for a powerful Islamic empire in present-day Afghanistan and surrounding regions.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5572c60881909101b4e65dd5de06 |
completed | March 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67ba4d4881909fe32902507bcbe3 |
completed | March 20, 2026, 3:28 p.m. |
Created at: March 20, 2026, 1 p.m.