Triple

T3162779
Position Surface form Disambiguated ID Type / Status
Subject Timur E66140 entity
Predicate alsoKnownAs P39 FINISHED
Object Timur the Lame E66140 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: Timur the Lame | Statement: [Timur, alsoKnownAs, Timur the Lame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timur the Lame
Context triple: [Timur, alsoKnownAs, Timur the Lame]
  • A. Timur chosen
    Timur, also known as Tamerlane, was a 14th-century Turco-Mongol conqueror who founded the Timurid Empire in Central Asia and became one of history’s most formidable military leaders.
  • B. Nogai Khan
    Nogai Khan was a powerful Mongol general and de facto ruler in the western part of the Golden Horde during the late 13th century.
  • C. Muhammad Shaybani
    Muhammad Shaybani was a prominent Uzbek military leader and khan who unified various Uzbek tribes and founded a powerful dynasty in Central Asia in the late 15th and early 16th centuries.
  • D. Temür Khan
    Temür Khan was a Yuan dynasty emperor and grandson of Kublai Khan who ruled China and the Mongol Empire in the late 13th and early 14th centuries.
  • E. Husayn Bayqara
    Husayn Bayqara was a late 15th-century Timurid ruler of Herat renowned for presiding over a flourishing court of Persian literature, art, and scholarship.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61a4b8481908897a8d39d94c2f4 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b4e09388190b41da913f677ffb7 completed March 12, 2026, 5:12 a.m.
Created at: March 8, 2026, 3:06 p.m.