Triple

T10844242
Position Surface form Disambiguated ID Type / Status
Subject Sindar E255970 entity
Predicate associatedWith P37 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: [Sindar, associatedWith, Lúthien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lúthien
Context triple: [Sindar, associatedWith, 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750cf3fd08190b9c509929dc43284 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb153de988190bd48f1c1980d7ca2 completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.