Triple

T8415842
Position Surface form Disambiguated ID Type / Status
Subject Apple "Think Different" campaign E198727 entity
Predicate portrayed P1668 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: [Apple "Think Different" campaign, portrayed, Dalai Lama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalai Lama
Context triple: [Apple "Think Different" campaign, portrayed, 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. Panchen Lama
    The Panchen Lama is one of the highest-ranking lamas in Tibetan Buddhism, traditionally regarded as a key religious authority and spiritual teacher second only to the Dalai Lama.
  • C. Gang Rinpoche
    Gang Rinpoche is the Tibetan name for Mount Kailash, a sacred peak in the Himalayas revered in Hinduism, Buddhism, Jainism, and Bon.
  • D. Lhakpa Tsamchoe
    Lhakpa Tsamchoe is a Tibetan actress best known internationally for her role in the film "Seven Years in Tibet."
  • E. Druk Gyalpo
    Druk Gyalpo is the official title of the hereditary monarch and head of state of the Kingdom of Bhutan.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c5121081908efa3eca25406d3a completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69cecc3c0d508190bc0c7bd89f040967 completed April 2, 2026, 8:06 p.m.
Created at: March 30, 2026, 6:06 p.m.