Triple

T26392578
Position Surface form Disambiguated ID Type / Status
Subject Shawn Dou E663457 entity
Predicate notableRole P22 FINISHED
Object Lao San in Under the Hawthorn Tree
Lao San in Under the Hawthorn Tree is the gentle, idealistic young man who becomes the devoted first love of the heroine in the Chinese Cultural Revolution–era romantic drama.
 E1720590 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: Lao San in Under the Hawthorn Tree | Statement: [Shawn Dou, notableRole, Lao San in Under the Hawthorn Tree]
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: Lao San in Under the Hawthorn Tree
Triple: [Shawn Dou, notableRole, Lao San in Under the Hawthorn Tree]
Generated description
Lao San in Under the Hawthorn Tree is the gentle, idealistic young man who becomes the devoted first love of the heroine in the Chinese Cultural Revolution–era romantic drama.

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_69ee883823988190b418b111be28a44a completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610c024f081908237794984538566 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a830a60819086bfd7fafd437a9b completed May 23, 2026, 12:16 p.m.
NEDg Description generation batch_6a119b15cbb4819087ea26f6c87d8732 completed May 23, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a119ba6270881908b5a151d25fb79d8 completed May 23, 2026, 12:20 p.m.
Created at: April 26, 2026, 11:26 p.m.