Triple

T22163446
Position Surface form Disambiguated ID Type / Status
Subject Locked Up E547728 entity
Predicate hasCastMember P2308 FINISHED
Object Huichi Chiu
Huichi Chiu is an actress known for her role in the Spanish television prison drama series "Locked Up" ("Vis a Vis").
E1522743 NE FINISHED

How this triple was built (4 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: Huichi Chiu | Statement: [Locked Up, hasCastMember, Huichi Chiu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huichi Chiu
Context triple: [Locked Up, hasCastMember, Huichi Chiu]
  • A. Fu-Sheng Chiu
    Fu-Sheng Chiu is a film producer best known for his work on acclaimed Chinese-language cinema, including the internationally recognized drama "To Live."
  • B. Ching-Yun Hu
    Ching-Yun Hu is a Taiwanese-American concert pianist acclaimed for her international competition successes and performances with major orchestras worldwide.
  • C. Liang-Chieh Chen
    Liang-Chieh Chen is a computer vision and deep learning researcher known for influential work on neural network architectures and efficient models such as MobileNetV2.
  • D. Yu-Chi Ho
    Yu-Chi Ho is a prominent control theorist and engineer known for his pioneering contributions to optimal control, dynamic systems, and game theory.
  • E. Wei-Ning Hsu
    Wei-Ning Hsu is a researcher in speech and audio processing, known for co-developing the HuBERT self-supervised learning model for speech representation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Huichi Chiu
Triple: [Locked Up, hasCastMember, Huichi Chiu]
Generated description
Huichi Chiu is an actress known for her role in the Spanish television prison drama series "Locked Up" ("Vis a Vis").
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huichi Chiu
Target entity description: Huichi Chiu is an actress known for her role in the Spanish television prison drama series "Locked Up" ("Vis a Vis").
  • A. Fu-Sheng Chiu
    Fu-Sheng Chiu is a film producer best known for his work on acclaimed Chinese-language cinema, including the internationally recognized drama "To Live."
  • B. Ching-Yun Hu
    Ching-Yun Hu is a Taiwanese-American concert pianist acclaimed for her international competition successes and performances with major orchestras worldwide.
  • C. Liang-Chieh Chen
    Liang-Chieh Chen is a computer vision and deep learning researcher known for influential work on neural network architectures and efficient models such as MobileNetV2.
  • D. Yu-Chi Ho
    Yu-Chi Ho is a prominent control theorist and engineer known for his pioneering contributions to optimal control, dynamic systems, and game theory.
  • E. Wei-Ning Hsu
    Wei-Ning Hsu is a researcher in speech and audio processing, known for co-developing the HuBERT self-supervised learning model for speech representation.
  • F. None of above. chosen

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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2f2f90819080b5bb73a6052c24 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ebca89c81908f2c4c3846377be5 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9faeac54819096ff39be4bbd690a completed May 18, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa05b6b7481908cbada539c02556d completed May 18, 2026, 5:15 a.m.
Created at: April 16, 2026, 8:34 p.m.