Triple

T2182032
Position Surface form Disambiguated ID Type / Status
Subject Liv Tyler E49065 entity
Predicate givenName P17 FINISHED
Object Liv
Liv is a feminine given name, often used in Scandinavian countries and popularized internationally by actress Liv Tyler.
 E243189 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: Liv | Statement: [Liv Tyler, givenName, Liv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liv
Context triple: [Liv Tyler, givenName, Liv]
  • A. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • B. Lou
    Lou is a common diminutive form of the given name Louise.
  • C. Luc
    Luc is the given name of Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • D. Lisa
    Lisa is a central character in the science fiction adventure film "Zathura: A Space Adventure," where she becomes unwittingly involved in her younger brothers' perilous journey through outer space.
  • E. Lin
    Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
  • 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: Liv
Triple: [Liv Tyler, givenName, Liv]
Generated description
Liv is a feminine given name, often used in Scandinavian countries and popularized internationally by actress Liv Tyler.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liv
Target entity description: Liv is a feminine given name, often used in Scandinavian countries and popularized internationally by actress Liv Tyler.
  • A. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • B. Lou
    Lou is a common diminutive form of the given name Louise.
  • C. Luc
    Luc is the given name of Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • D. Lisa
    Lisa is a central character in the science fiction adventure film "Zathura: A Space Adventure," where she becomes unwittingly involved in her younger brothers' perilous journey through outer space.
  • E. Lin
    Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
  • 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_69ae5da786e48190896cae8fdcee3d83 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e30a69c8190a3f77e784401f671 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ea7909c8190a93d87a5d07b84d4 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.