Triple

T13936269
Position Surface form Disambiguated ID Type / Status
Subject First Knight E335129 entity
Predicate title P38 FINISHED
Object First Knight E730858 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: First Knight | Statement: [First Knight, title, First Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: First Knight
Context triple: [First Knight, title, First Knight]
  • A. First Knight chosen
    First Knight is a 1995 romantic adventure film reimagining the Arthurian legend, focusing on the love triangle between King Arthur, Guinevere, and Lancelot.
  • B. Knights Companion
    Knights Companion are full members of England’s prestigious Order of the Garter, one of the oldest and most distinguished orders of chivalry in the world.
  • C. The Knight
    The Knight is a noble, chivalrous warrior and one of the most respected storytellers among the pilgrims in Geoffrey Chaucer’s *The Canterbury Tales*.
  • D. Three Knights
    Three Knights are a group of characters in T.S. Eliot’s play "Murder in the Cathedral" who serve as the king’s agents and later attempt to justify the assassination of Thomas Becket.
  • E. The Black Knight
    The Black Knight is a mysterious armored warrior who serves as a formidable antagonist in the 1954 adventure film "Prince Valiant."
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf42878819085146670d7b92605 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c81e988190a5fd8e2d83e065fe completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.