Triple

T2182033
Position Surface form Disambiguated ID Type / Status
Subject Liv Tyler E49065 entity
Predicate familyName P18 FINISHED
Object Tyler
Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
 E243190 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: Tyler | Statement: [Liv Tyler, familyName, Tyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyler
Context triple: [Liv Tyler, familyName, Tyler]
  • A. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • B. Neal
    Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
  • C. Jay
    Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
  • D. Taylor
    Taylor is a suburban city in Wayne County, Michigan, known for its residential communities and proximity to Detroit.
  • E. Taylor
    Taylor is a common English surname borne by numerous notable individuals across fields such as politics, arts, sports, and academia.
  • 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: Tyler
Triple: [Liv Tyler, familyName, Tyler]
Generated description
Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyler
Target entity description: Tyler is a surname most prominently associated with American actress Liv Tyler and various other notable figures in entertainment and public life.
  • A. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • B. Neal
    Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
  • C. Jay
    Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
  • D. Taylor
    Taylor is a suburban city in Wayne County, Michigan, known for its residential communities and proximity to Detroit.
  • E. Taylor
    Taylor is a common English surname borne by numerous notable individuals across fields such as politics, arts, sports, and academia.
  • 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.