Triple

T20112253
Position Surface form Disambiguated ID Type / Status
Subject Lawndale E490361 entity
Predicate hasResident P6481 FINISHED
Object Ms. Li
Ms. Li is a character from the animated television series "Daria," known as the strict and image-conscious principal of Lawndale High School.
E1411796 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: Ms. Li | Statement: [Lawndale, hasResident, Ms. Li]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ms. Li
Context triple: [Lawndale, hasResident, Ms. Li]
  • A. Mrs. Gao
    Mrs. Gao is a traditional, strong-willed Taiwanese mother whose expectations and cultural values drive much of the emotional conflict in Ang Lee’s film "The Wedding Banquet."
  • B. Ms. Toi
    Ms. Toi is an American rapper best known for her featured verse on Ice Cube’s hit single “You Can Do It.”
  • C. Ms. Weiss
    Ms. Weiss is a social worker character in the film "Precious," known for her pivotal role in supporting the abused teenage protagonist.
  • D. Madame Peng
    Madame Peng is the honorific name commonly used for Peng Liyuan, a renowned Chinese soprano and the wife of Chinese leader Xi Jinping.
  • E. Madame Gao
    Madame Gao is a powerful and enigmatic crime boss in the Marvel Netflix series, known for her deep connections to the Hand and her influence over New York’s criminal underworld.
  • 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: Ms. Li
Triple: [Lawndale, hasResident, Ms. Li]
Generated description
Ms. Li is a character from the animated television series "Daria," known as the strict and image-conscious principal of Lawndale High School.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ms. Li
Target entity description: Ms. Li is a character from the animated television series "Daria," known as the strict and image-conscious principal of Lawndale High School.
  • A. Mrs. Gao
    Mrs. Gao is a traditional, strong-willed Taiwanese mother whose expectations and cultural values drive much of the emotional conflict in Ang Lee’s film "The Wedding Banquet."
  • B. Ms. Toi
    Ms. Toi is an American rapper best known for her featured verse on Ice Cube’s hit single “You Can Do It.”
  • C. Ms. Weiss
    Ms. Weiss is a social worker character in the film "Precious," known for her pivotal role in supporting the abused teenage protagonist.
  • D. Madame Peng
    Madame Peng is the honorific name commonly used for Peng Liyuan, a renowned Chinese soprano and the wife of Chinese leader Xi Jinping.
  • E. Madame Gao
    Madame Gao is a powerful and enigmatic crime boss in the Marvel Netflix series, known for her deep connections to the Hand and her influence over New York’s criminal underworld.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e162108190b19c9559218c8fd6 completed April 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082719f56481908143daf05e9b5362 completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a0829ea1a648190b9574c4398185329 completed May 16, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_6a082a5093988190894006cac95b2ff8 completed May 16, 2026, 8:26 a.m.
Created at: April 11, 2026, 11:29 p.m.