Triple

T4524555
Position Surface form Disambiguated ID Type / Status
Subject Mother Teresa Memorial Award for Social Justice E103345 entity
Predicate notableRecipient P108 FINISHED
Object Dalai Lama E37439 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: Dalai Lama | Statement: [Mother Teresa Memorial Award for Social Justice, notableRecipient, Dalai Lama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalai Lama
Context triple: [Mother Teresa Memorial Award for Social Justice, notableRecipient, Dalai Lama]
  • A. Dalai Lama chosen
    The Dalai Lama is the spiritual leader of Tibetan Buddhism and a globally recognized advocate for peace, nonviolence, and human rights.
  • B. Druk Gyalpo
    Druk Gyalpo is the official title of the hereditary monarch and head of state of the Kingdom of Bhutan.
  • C. Nyima Gyaltsen
    Nyima Gyaltsen is a mountaineer known for leading the first successful ascent of Myanmar’s highest peak, Hkakabo Razi.
  • D. His Holiness
    His Holiness is the traditional honorific style used when formally addressing or referring to the Pope of the Roman Catholic Church.
  • E. Biligtü Khan Ayushiridara
    Biligtü Khan Ayushiridara was a 14th-century Mongol ruler who became the first khan of the Northern Yuan dynasty following the fall of the Yuan in China.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5773341c8190bf27745feb863575 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda4483aa481909a100bf20085d667 completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:03 p.m.