Triple

T11319341
Position Surface form Disambiguated ID Type / Status
Subject Meg Tilly E268050 entity
Predicate birthName P65 FINISHED
Object Margaret Elizabeth Chan E98588 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: Margaret Elizabeth Chan | Statement: [Meg Tilly, birthName, Margaret Elizabeth Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Elizabeth Chan
Context triple: [Meg Tilly, birthName, Margaret Elizabeth Chan]
  • A. Margaret Chan chosen
    Margaret Chan is a Chinese-Canadian physician and public health administrator best known for serving as Director-General of the World Health Organization from 2006 to 2017.
  • B. Ho Ching
    Ho Ching is a prominent Singaporean business executive best known for her long tenure as CEO of Temasek Holdings and her influential role in Singapore’s economic landscape.
  • C. Christine Chow Ma
    Christine Chow Ma is a Taiwanese educator and public figure who served as First Lady of the Republic of China (Taiwan) during the presidency of her husband, Ma Ying-jeou.
  • D. Donald Tsang
    Donald Tsang is a Hong Kong politician who served as the second Chief Executive of Hong Kong from 2005 to 2012.
  • E. Vivian Chow
    Vivian Chow is a Hong Kong Cantopop singer and actress who rose to fame in the late 1980s and 1990s and became known as one of the era’s most popular idols.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525e2549081909ec99e4c7006fd66 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.