Triple

T22573519
Position Surface form Disambiguated ID Type / Status
Subject Ellen Pao E544333 entity
Predicate familyName P18 FINISHED
Object Pao
Pao is a Chinese-American investor and former Reddit interim CEO best known for her high-profile gender discrimination lawsuit against Kleiner Perkins and her advocacy for diversity and inclusion in the tech industry.
E1543033 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: Pao | Statement: [Ellen Pao, familyName, Pao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pao
Context triple: [Ellen Pao, familyName, Pao]
  • A. Paku
    Paku is a minor Austronesian language variety spoken in parts of Indonesia, considered a dialect of the Lawangan language.
  • B. Pai
    Pai is the given name of Peng Pai, a prominent early 20th-century Chinese revolutionary and pioneer of the peasant movement.
  • C. Pai
    Pai are an Indigenous people of the American Southwest, culturally and linguistically related to other Yuman-speaking groups such as the Yavapai.
  • D. Poh Pitu
    Poh Pitu was an early capital city of the Medang Kingdom, an ancient Javanese Hindu-Buddhist polity in what is now Indonesia.
  • E. Pandaro
    Pandaro is a character in Giovanni Boccaccio’s narrative poem "Il Filostrato," which recounts the tragic love story of Troilus and Criseyde.
  • 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: Pao
Triple: [Ellen Pao, familyName, Pao]
Generated description
Pao is a Chinese-American investor and former Reddit interim CEO best known for her high-profile gender discrimination lawsuit against Kleiner Perkins and her advocacy for diversity and inclusion in the tech industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pao
Target entity description: Pao is a Chinese-American investor and former Reddit interim CEO best known for her high-profile gender discrimination lawsuit against Kleiner Perkins and her advocacy for diversity and inclusion in the tech industry.
  • A. Paku
    Paku is a minor Austronesian language variety spoken in parts of Indonesia, considered a dialect of the Lawangan language.
  • B. Pai
    Pai is the given name of Peng Pai, a prominent early 20th-century Chinese revolutionary and pioneer of the peasant movement.
  • C. Pai
    Pai are an Indigenous people of the American Southwest, culturally and linguistically related to other Yuman-speaking groups such as the Yavapai.
  • D. Poh Pitu
    Poh Pitu was an early capital city of the Medang Kingdom, an ancient Javanese Hindu-Buddhist polity in what is now Indonesia.
  • E. Pandaro
    Pandaro is a character in Giovanni Boccaccio’s narrative poem "Il Filostrato," which recounts the tragic love story of Troilus and Criseyde.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fea683c81908fbf9f171eed3341 completed April 29, 2026, 1:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b2d7828988190af945de92c604ac7 completed May 18, 2026, 3:17 p.m.
NEDg Description generation batch_6a0b3648cb208190b749e343c3d5c88d completed May 18, 2026, 3:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0b37002120819097bf1f6e56b6afe5 completed May 18, 2026, 3:57 p.m.
Created at: April 16, 2026, 8:53 p.m.