Triple

T10119992
Position Surface form Disambiguated ID Type / Status
Subject Sultan Azlan Shah E223260 entity
Predicate honorificPrefix P536 FINISHED
Object Almarhum E218796 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: Almarhum | Statement: [Sultan Azlan Shah, honorificPrefix, Almarhum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almarhum
Context triple: [Sultan Azlan Shah, honorificPrefix, Almarhum]
  • A. Toten
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • B. Dead
    Dead is the surname of the central African American family in Toni Morrison’s novel "Song of Solomon," most notably borne by the protagonist Milkman Dead.
  • C. Mortus
    Mortus is the main villain of the 1995 Sega Genesis beat ’em up game Comix Zone, a demonic comic-book creator who brings his own drawings to life to battle the hero.
  • D. Mrityu chosen
    Mrityu is a personification of death in Hindu mythology, closely associated with the god Yama as an embodiment of mortality and the end of life.
  • E. Mrityukshuda
    Mrityukshuda is a Bengali novel by Kazi Nazrul Islam that explores themes of poverty, social injustice, and revolutionary struggle in early 20th-century Bengal.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2659cdc8190b3ba91426bda55ec completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc3eb9cc81909546657ff86c87d8 completed April 5, 2026, 8:55 p.m.
Created at: March 30, 2026, 9:04 p.m.