Triple

T5135138
Position Surface form Disambiguated ID Type / Status
Subject Nature E115800 entity
Predicate associatedAct P37 FINISHED
Object Tragedy Khadafi E492552 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: Tragedy Khadafi | Statement: [Nature, associatedAct, Tragedy Khadafi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tragedy Khadafi
Context triple: [Nature, associatedAct, Tragedy Khadafi]
  • A. Tragedy Khadafi chosen
    Tragedy Khadafi is an American rapper and producer from Queensbridge, New York, known as a pioneering figure in East Coast hardcore and political hip-hop.
  • B. Al-Waqi'ah
    Al-Waqi'ah is the 56th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the division of people into distinct groups based on their deeds.
  • C. Kabul Mission
    The Kabul Mission was a World War I-era Indian nationalist and German-backed diplomatic effort in Afghanistan aimed at securing support to undermine British rule in India.
  • D. Flight into Egypt
    The Flight into Egypt is a biblical event in which Joseph, Mary, and the infant Jesus flee to Egypt to escape King Herod’s massacre, a scene frequently depicted in Christian art and tradition.
  • E. Ettahrir
    Ettahrir is a neighborhood within the Tunis metropolitan area in northern Tunisia.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd784e306081908dd8317227227807 completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4cd5e188190b1404cefc887e0b3 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.