Triple

T17182345
Position Surface form Disambiguated ID Type / Status
Subject The Fire Raisers E417014 entity
Predicate mainCharacter P1183 FINISHED
Object Eisenring E417013 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: Eisenring | Statement: [The Fire Raisers, mainCharacter, Eisenring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eisenring
Context triple: [The Fire Raisers, mainCharacter, Eisenring]
  • A. Eisenring chosen
    Eisenring is one of the central arsonists in Max Frisch’s play "Biedermann und die Brandstifter," embodying manipulative and destructive tendencies beneath a seemingly harmless exterior.
  • B. The Iron
    The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
  • C. The Iron
    The Iron is the nickname of Scunthorpe United F.C., an English professional football club traditionally associated with the town’s steel industry.
  • D. Hinkelsteine
    Hinkelsteine are large, unforgiving concrete blocks lining parts of the Rallye Deutschland stages, notorious for severely damaging cars that stray off the racing line.
  • E. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d934ec08190acc47073758ac3c0 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e5d38881908d6f57a8bd60c930 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:37 a.m.