Triple

T6407115
Position Surface form Disambiguated ID Type / Status
Subject Joe Fagan E127611 entity
Predicate leagueTitleWonAsStaff P70458 FINISHED
Object multiple English league championships with Liverpool F.C. LITERAL 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: multiple English league championships with Liverpool F.C. | Statement: [Joe Fagan, leagueTitleWonAsStaff, multiple English league championships with Liverpool F.C.]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leagueTitleWonAsStaff
Context triple: [Joe Fagan, leagueTitleWonAsStaff, multiple English league championships with Liverpool F.C.]
  • A. teamCoachedToTitle
    Indicates that a coach led a team to win a championship or title.
  • B. continentalTitleWonAsManager
    Indicates that the person has won a continental-level competition title in the role of a manager.
  • C. team1ConferenceTitlesContext
    Indicates the number of conference titles that team1 has won within a specified contextual scope (such as league, era, or competition).
  • D. teamWithMultipleTitles
    Indicates that a team has won more than one title or championship within the relevant competition or context.
  • E. wonLeagueTitle
    Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
  • F. None of above. chosen

Provenance (4 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068b3541c8190be89b24b313d7300 completed March 22, 2026, 10:09 p.m.
PD Predicate disambiguation batch_69c060f40ecc8190b1df17b96767675c completed March 22, 2026, 9:36 p.m.
PDg Predicate description generation batch_69c0623d23448190a75cf5d802fc0a02 completed March 22, 2026, 9:42 p.m.
Created at: March 22, 2026, 4:41 p.m.