Triple

T16580243
Position Surface form Disambiguated ID Type / Status
Subject Forest of the Dead E402809 entity
Predicate directedBy P7373 FINISHED
Object Euros Lyn E1010618 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: Euros Lyn | Statement: [Forest of the Dead, directedBy, Euros Lyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euros Lyn
Context triple: [Forest of the Dead, directedBy, Euros Lyn]
  • A. Euros Lyn chosen
    Euros Lyn is a Welsh television director known for his work on acclaimed British series such as Doctor Who, Torchwood, and Sherlock.
  • B. Euralille
    Euralille is a major urban development and business district in Lille, France, known for its high-speed rail hub and contemporary architecture integrating commercial, office, and public spaces.
  • C. Eursinge
    Eursinge is a small village in the Dutch province of Drenthe, located within the municipality of Midden-Drenthe.
  • D. Lyn
    Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
  • E. Elezen
    Elezen are a tall, long-eared elven-like race in Final Fantasy XIV known for their grace, proud traditions, and prominent role in the realm of Eorzea.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35960834c819080eed0c9f32b881d completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007595cfd08190bae54d29427a1d3c completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:16 a.m.