Triple

T2182064
Position Surface form Disambiguated ID Type / Status
Subject Liv Tyler E49065 entity
Predicate sibling P363 FINISHED
Object Mia Tyler
Mia Tyler is an American plus-size model, actress, and television personality, and the daughter of Aerosmith frontman Steven Tyler.
 E264339 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: Mia Tyler | Statement: [Liv Tyler, sibling, Mia Tyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mia Tyler
Context triple: [Liv Tyler, sibling, Mia Tyler]
  • A. Mia Dolan
    Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
  • B. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • C. Bianca Taylor
    Bianca Taylor is a character in the "Creed" film series, known as Adonis Creed's love interest and a talented musician coping with progressive hearing loss.
  • D. Lacey Pemberton
    Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
  • E. Carley Knox
    Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
  • 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: Mia Tyler
Triple: [Liv Tyler, sibling, Mia Tyler]
Generated description
Mia Tyler is an American plus-size model, actress, and television personality, and the daughter of Aerosmith frontman Steven Tyler.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mia Tyler
Target entity description: Mia Tyler is an American plus-size model, actress, and television personality, and the daughter of Aerosmith frontman Steven Tyler.
  • A. Mia Dolan
    Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
  • B. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • C. Bianca Taylor
    Bianca Taylor is a character in the "Creed" film series, known as Adonis Creed's love interest and a talented musician coping with progressive hearing loss.
  • D. Lacey Pemberton
    Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
  • E. Carley Knox
    Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbef1f8c0819084da6002035bbf93 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf17c28c81908f6b51c9ac6bc6ea completed March 9, 2026, 12:37 p.m.
NEDg Description generation batch_69aebfbfdd78819081dc228abe0b1aff completed March 9, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_69aec02c2d0c81908b2d149efc342ccf completed March 9, 2026, 12:42 p.m.
Created at: March 4, 2026, 7:45 p.m.