Triple

T21436418
Position Surface form Disambiguated ID Type / Status
Subject Rails & Ties E528823 entity
Predicate hasCastMember P2308 FINISHED
Object Tamara Van Lier
Tamara Van Lier is an actress known for her role in the drama film "Rails & Ties."
E1485050 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: Tamara Van Lier | Statement: [Rails & Ties, hasCastMember, Tamara Van Lier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamara Van Lier
Context triple: [Rails & Ties, hasCastMember, Tamara Van Lier]
  • A. Tamara Fitch
    Tamara Fitch is known as the former wife of Mike Love, the lead singer and co-founder of the Beach Boys.
  • B. Tamara Greer
    Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
  • C. Tamara Lang
    Tamara Lang is known as the spouse of Michael Lang, the co-creator and promoter of the original Woodstock music festival.
  • D. Nina Villard
    Nina Villard was a 19th-century French composer, pianist, and influential salonnière known for promoting contemporary music and artists in Parisian cultural circles.
  • E. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • 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: Tamara Van Lier
Triple: [Rails & Ties, hasCastMember, Tamara Van Lier]
Generated description
Tamara Van Lier is an actress known for her role in the drama film "Rails & Ties."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tamara Van Lier
Target entity description: Tamara Van Lier is an actress known for her role in the drama film "Rails & Ties."
  • A. Tamara Fitch
    Tamara Fitch is known as the former wife of Mike Love, the lead singer and co-founder of the Beach Boys.
  • B. Tamara Greer
    Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
  • C. Tamara Lang
    Tamara Lang is known as the spouse of Michael Lang, the co-creator and promoter of the original Woodstock music festival.
  • D. Nina Villard
    Nina Villard was a 19th-century French composer, pianist, and influential salonnière known for promoting contemporary music and artists in Parisian cultural circles.
  • E. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b537f39081909220577618657805 completed April 22, 2026, 11:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8fd41d08190a28e5efa6880b879 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c97c16c88190ba27f2431fb8d8d3 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca639d74819094f368d15c1e7a1a completed May 17, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:02 p.m.