Triple

T10226500
Position Surface form Disambiguated ID Type / Status
Subject King Théoden (film character) E243216 entity
Predicate alliedWith P37 FINISHED
Object Gandalf E46698 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: Gandalf | Statement: [King Théoden (film character), alliedWith, Gandalf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gandalf
Context triple: [King Théoden (film character), alliedWith, Gandalf]
  • A. Gandalf chosen
    Gandalf is a wise and powerful wizard who plays a central role in guiding the forces of good against evil in J.R.R. Tolkien’s Middle-earth saga.
  • B. Mithrandir
    Mithrandir is another name for Gandalf, the wise and powerful wizard from J.R.R. Tolkien’s Middle-earth legendarium.
  • C. Radagast
    Radagast is a nature-loving wizard from J.R.R. Tolkien’s Middle-earth legendarium, known for his deep affinity with animals and the natural world.
  • D. Bilbobus
    Bilbobus is the main municipal bus network serving the city of Bilbao in Spain, providing urban public transportation across its neighborhoods.
  • E. Ulmo
    Ulmo is the Vala of waters in J.R.R. Tolkien’s legendarium, lord of all seas, rivers, and lakes in Middle-earth.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d54c32c8190b175a30c7c905cd2 completed April 10, 2026, 2:46 p.m.
Created at: April 6, 2026, 11:17 a.m.