Triple

T7257075
Position Surface form Disambiguated ID Type / Status
Subject Raising Hope E157747 entity
Predicate openingThemePerformer P21830 FINISHED
Object Liam Titcomb
Liam Titcomb is a Canadian singer-songwriter and multi-instrumentalist known for his folk-pop music and work in television soundtracks.
 E654475 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: Liam Titcomb | Statement: [Raising Hope, openingThemePerformer, Liam Titcomb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liam Titcomb
Context triple: [Raising Hope, openingThemePerformer, Liam Titcomb]
  • A. Liam Egan
    Liam Egan is a composer best known for creating the musical score for the Australian film "Ten Canoes."
  • B. Liam Sullivan
    Liam Sullivan was an American character actor known for his numerous television and film roles from the 1950s through the 1980s, often portraying suave or villainous figures.
  • C. Liam Lonergan
    Liam Lonergan is an Irish businessman best known as one of the founders of the low-cost airline Ryanair.
  • D. Liam O’Connor
    Liam O’Connor is a British architect best known for designing prominent public memorials, including the Bomber Command Memorial in London.
  • E. Dylan McLaughlin
    Dylan McLaughlin is an American former child actor best known for his roles in family comedies and dramas in the early 2000s.
  • 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: Liam Titcomb
Triple: [Raising Hope, openingThemePerformer, Liam Titcomb]
Generated description
Liam Titcomb is a Canadian singer-songwriter and multi-instrumentalist known for his folk-pop music and work in television soundtracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liam Titcomb
Target entity description: Liam Titcomb is a Canadian singer-songwriter and multi-instrumentalist known for his folk-pop music and work in television soundtracks.
  • A. Liam Egan
    Liam Egan is a composer best known for creating the musical score for the Australian film "Ten Canoes."
  • B. Liam Sullivan
    Liam Sullivan was an American character actor known for his numerous television and film roles from the 1950s through the 1980s, often portraying suave or villainous figures.
  • C. Liam Lonergan
    Liam Lonergan is an Irish businessman best known as one of the founders of the low-cost airline Ryanair.
  • D. Liam O’Connor
    Liam O’Connor is a British architect best known for designing prominent public memorials, including the Bomber Command Memorial in London.
  • E. Dylan McLaughlin
    Dylan McLaughlin is an American former child actor best known for his roles in family comedies and dramas in the early 2000s.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa274bc8190b017b71583711453 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db14f6c481908084aaa49d82787d completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7e0659e6c81909165aaa914ec06ef completed March 28, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_69c7e0afccd88190a1c6d074f28b68e2 completed March 28, 2026, 2:07 p.m.
Created at: March 27, 2026, 2:57 p.m.