Triple

T11929066
Position Surface form Disambiguated ID Type / Status
Subject The Knightly Tale of Gologras and Gawain E283862 entity
Predicate antagonist P4675 FINISHED
Object Gologras E955554 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: Gologras | Statement: [The Knightly Tale of Gologras and Gawain, antagonist, Gologras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gologras
Context triple: [The Knightly Tale of Gologras and Gawain, antagonist, Gologras]
  • A. Gologras chosen
    Gologras is a knightly figure from Middle English Arthurian romance, best known as a formidable opponent and counterpart to Sir Gawain.
  • B. Galga
    Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
  • C. Glaridoglanis
    Glaridoglanis is a genus of Asian sisorid catfishes adapted to fast-flowing freshwater habitats.
  • D. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • E. Gullac
    Gullac is a traditional Turkish dessert made from thin cornstarch pastry soaked in sweetened milk and typically garnished with nuts and pomegranate seeds, especially popular during Ramadan.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903024afc8190a97aa3263dc7d017 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458a576fc8190b68b27365cd53caf completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.