Triple

T13635484
Position Surface form Disambiguated ID Type / Status
Subject Gulliver McGrath E325836 entity
Predicate notableWork P4 FINISHED
Object Rake E255991 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: Rake | Statement: [Gulliver McGrath, notableWork, Rake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rake
Context triple: [Gulliver McGrath, notableWork, Rake]
  • A. Rake
    Rake is a Ruby-based build automation tool similar to Make, used to define and run tasks via Ruby code.
  • B. Rake chosen
    Rake is an Australian television legal comedy-drama series centered on a brilliant but self-destructive criminal defense barrister.
  • C. Rubi
    Rubi is a popular Arabic-language television drama series that helped boost Egyptian actor Amr Waked’s regional fame.
  • D. Yank
    Yank is a central character in John Patrick's wartime drama "The Hasty Heart," portrayed as a tough, emotionally guarded American soldier whose interactions with fellow patients reveal his vulnerability and capacity for friendship.
  • E. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aef6fd08190b209a94b9ddd024c completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.