Triple

T32174282
Position Surface form Disambiguated ID Type / Status
Subject An Autumn's Tale E821793 entity
Predicate alternateTitle P39 FINISHED
Object 秋天的童話
《秋天的童話》是一部由周潤發與鍾楚紅主演的經典香港愛情電影，講述兩位在紐約相遇的華人移民之間細膩動人的愛情故事。
 E1995382 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: 秋天的童話 | Statement: [An Autumn's Tale, alternateTitle, 秋天的童話]
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: 秋天的童話
Triple: [An Autumn's Tale, alternateTitle, 秋天的童話]
Generated description
《秋天的童話》是一部由周潤發與鍾楚紅主演的經典香港愛情電影，講述兩位在紐約相遇的華人移民之間細膩動人的愛情故事。

Provenance (5 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_69f3490699a48190bbef96b198e8fade completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6ba786b188190a59d6b96caa92213 completed May 3, 2026, 3:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0bdd4ef081909d86b93410286eea completed June 14, 2026, 8:15 p.m.
NEDg Description generation batch_6a2f16d00fe88190b37cad448a0f8fdf completed June 14, 2026, 9:02 p.m.
NED2 Entity disambiguation (via description) batch_6a2f174d10b88190a62b34166d583824 completed June 14, 2026, 9:04 p.m.
Created at: May 1, 2026, 12:34 a.m.