Triple

T15566424
Position Surface form Disambiguated ID Type / Status
Subject The Exorcist (TV series) E371125 entity
Predicate portrayedBy P1507 FINISHED
Object Li Jun Li E1078171 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: Li Jun Li | Statement: [The Exorcist (TV series), portrayedBy, Li Jun Li]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Li Jun Li
Context triple: [The Exorcist (TV series), portrayedBy, Li Jun Li]
  • A. Li Jun Li chosen
    Li Jun Li is a Chinese-American actress known for her roles in film and television, including a prominent part in Damien Chazelle's 2022 Hollywood epic "Babylon."
  • B. Xing Li
    Xing Li is the creator and original developer of FanFiction.net, one of the largest and earliest online archives for user-written fan fiction.
  • C. Xing Li
    Xing Li is a computer networking expert known for co-authoring IETF standards, including RFC 6145 on IPv4/IPv6 translation mechanisms.
  • D. Jian Sun
    Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
  • E. Yiliang Peng
    Yiliang Peng, better known as Doublelift, is a retired professional League of Legends AD carry from North America renowned for his multiple LCS titles and status as one of the region’s greatest players.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddd753c8190b51eaef433258081 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff997b9c9081908f6a68e28a50a359 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:10 a.m.