Triple

T27166917
Position Surface form Disambiguated ID Type / Status
Subject Monster Hunt E682802 entity
Predicate titleInChineseCharacters P51900 FINISHED
Object 捉妖记
捉妖记 is a popular Chinese fantasy-comedy film that blends live-action and CGI to tell a whimsical story about humans and monsters coexisting.
 E1762150 NE FINISHED

How this triple was built (3 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: 捉妖记 | Statement: [Monster Hunt, titleInChineseCharacters, 捉妖记]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 捉妖记
Triple: [Monster Hunt, titleInChineseCharacters, 捉妖记]
Generated description
捉妖记 is a popular Chinese fantasy-comedy film that blends live-action and CGI to tell a whimsical story about humans and monsters coexisting.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: titleInChineseCharacters
Context triple: [Monster Hunt, titleInChineseCharacters, 捉妖记]
  • A. hasChineseTitle chosen
    Indicates that an entity possesses a title or name expressed in the Chinese language.
  • B. titleInKanji
    Indicates that one entity is the title of another entity written specifically in Kanji characters.
  • C. titleInKorean
    Indicates that an entity has a specific title expressed in the Korean language.
  • D. titleInJapanese
    Indicates that one entity is the title of another entity expressed specifically in the Japanese language.
  • E. titleInLatinScript
    Indicates that the title of an entity is written or represented using a Latin-based writing system.
  • F. None of above.

Provenance (6 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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f7805ce6208190ac6dbd9c97989978 completed May 3, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253853b648190a75e7a57181f5e9b completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a12545544f881909f0afd8459986559 completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a125879112c8190959380eaef8ccf19 completed May 24, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f77956ec648190ba4fb7e9d83fd107 completed May 3, 2026, 4:35 p.m.
Created at: April 27, 2026, 9:21 a.m.