Triple

T11048019
Position Surface form Disambiguated ID Type / Status
Subject First Age E261178 entity
Predicate featuresCharacter P626 FINISHED
Object Lúthien E848083 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: Lúthien | Statement: [First Age, featuresCharacter, Lúthien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lúthien
Context triple: [First Age, featuresCharacter, Lúthien]
  • A. Lúthien Tinúviel chosen
    Lúthien Tinúviel is a legendary Elven princess of Doriath in J.R.R. Tolkien’s legendarium, famed for her unparalleled beauty, courage, and her love story with the mortal Beren.
  • B. Dorimène
    Dorimène is a noble lady courted by the pretentious Monsieur Jourdain in Molière’s comedy *Le Bourgeois gentilhomme*.
  • C. Celebrían
    Celebrían is an Elf of Middle-earth, daughter of Galadriel and Celeborn, who becomes the wife of Elrond and mother of Arwen, Elladan, and Elrohir in J.R.R. Tolkien’s legendarium.
  • D. Arwen
    Arwen is an Elven princess of Rivendell in J.R.R. Tolkien's Middle-earth legendarium, renowned for her beauty, wisdom, and pivotal role in the story of The Lord of the Rings.
  • E. Nienna
    Nienna is a compassionate Vala from J.R.R. Tolkien’s legendarium, known as the Lady of Pity and Mourning who teaches wisdom through sorrow and mercy.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798315b988190bc565581b2664009 completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e74e1dc881908afc01b328cda843 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.