Triple

T12359394
Position Surface form Disambiguated ID Type / Status
Subject Thrór E294692 entity
Predicate enemy P4567 FINISHED
Object Azog E295479 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: Azog | Statement: [Thrór, enemy, Azog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azog
Context triple: [Thrór, enemy, Azog]
  • A. Azog chosen
    Azog is a fearsome pale orc chieftain and primary antagonist in Peter Jackson’s Hobbit film trilogy, relentlessly hunting Thorin Oakenshield and his company.
  • B. Ofogoula
    Ofogoula is an alternative name for the Ofo language, a now-extinct Siouan language once spoken by the Ofo people in the southeastern United States.
  • C. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • D. Azdak
    Azdak is a shrewd, unorthodox village judge whose rough-edged wisdom and sense of justice drive the central conflict in Bertolt Brecht’s play "The Caucasian Chalk Circle."
  • E. Avargal
    Avargal is a 1977 Tamil-language drama film directed by K. Balachander, acclaimed for its progressive portrayal of a woman's emotional journey and complex relationships.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f90201481909359416b8b9f7871 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab771448190b7f76e424ec0b4b5 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.