Triple

T10051170
Position Surface form Disambiguated ID Type / Status
Subject Liam Byrne E207750 entity
Predicate givenName P17 FINISHED
Object Liam E8416 NE FINISHED

How this triple was built (2 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 | Statement: [Liam Byrne, givenName, Liam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liam
Context triple: [Liam Byrne, givenName, Liam]
  • A. Liam chosen
    Liam is a popular masculine given name of Irish origin, commonly understood as a short form of William.
  • B. Liam Egan
    Liam Egan is a composer best known for creating the musical score for the Australian film "Ten Canoes."
  • C. Liam Titcomb
    Liam Titcomb is a Canadian singer-songwriter and multi-instrumentalist known for his folk-pop music and work in television soundtracks.
  • D. 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.
  • E. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8fb23c8190b48b30cb2368dc1f completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2829e24488190be65cff760850b9e completed April 5, 2026, 3:41 p.m.
Created at: March 30, 2026, 8:56 p.m.