Triple

T14659123
Position Surface form Disambiguated ID Type / Status
Subject Scott Spiegel E344188 entity
Predicate familyName P18 FINISHED
Object Spiegel E264021 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: Spiegel | Statement: [Scott Spiegel, familyName, Spiegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spiegel
Context triple: [Scott Spiegel, familyName, Spiegel]
  • A. Spiegel chosen
    Spiegel is a surname most prominently associated with Evan Spiegel, the co-founder and CEO of Snap Inc.
  • B. Der Spiegel
    Der Spiegel is a leading German weekly news magazine known for its investigative journalism and significant influence on political and public discourse in Germany.
  • C. Warta
    Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
  • D. Die Neue Rundschau
    Die Neue Rundschau is a long-running German literary magazine renowned for publishing major works of modern literature and essays by prominent authors.
  • E. Zerkalo
    Zerkalo is a 1975 semi-autobiographical art film by Russian director Andrei Tarkovsky, renowned for its poetic, non-linear exploration of memory, childhood, and personal history.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.