Triple

T17351563
Position Surface form Disambiguated ID Type / Status
Subject Toby Halbrooks E421824 entity
Predicate produced P490 FINISHED
Object The Green Knight NE NERFINISHED

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: The Green Knight | Statement: [Toby Halbrooks, produced, The Green Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Green Knight
Context triple: [Toby Halbrooks, produced, The Green Knight]
  • A. Green Knight chosen
    The Green Knight is a mysterious, supernatural challenger in Arthurian legend whose beheading game with Sir Gawain tests the knight’s honor and courage.
  • B. Sir Gawain and the Green Knight
    Sir Gawain and the Green Knight is a late 14th-century Middle English chivalric romance poem that tells the story of King Arthur’s knight Sir Gawain and his beheading game encounter with the mysterious Green Knight.
  • C. The White Knight
    The White Knight is a gentle, eccentric, and chivalrous character in Lewis Carroll’s "Through the Looking-Glass," often interpreted as a self-parody of the author himself.
  • D. The Black Knight
    The Black Knight is a mysterious armored warrior who serves as a formidable antagonist in the 1954 adventure film "Prince Valiant."
  • E. The Black Knight
    The Black Knight is a music producer known for crafting beats and soundscapes, including work on tracks by The Meth Lab.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2ca0708190aae8306ec3a6f2a7 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.