Triple

T13150825
Position Surface form Disambiguated ID Type / Status
Subject Art Modell E312460 entity
Predicate familyName P18 FINISHED
Object Modell E312460 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: Modell | Statement: [Art Modell, familyName, Modell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modell
Context triple: [Art Modell, familyName, Modell]
  • A. Modell chosen
    Modell is the surname of Art Modell, the influential former owner of the NFL’s Cleveland Browns and Baltimore Ravens.
  • B. Modelo (outside United States)
    Modelo (outside the United States) is a popular Mexican beer brand owned and marketed internationally by AB InBev.
  • C. T-Model
    The T-Model was an early leather football design used in top-level international competitions, including the inaugural FIFA World Cup.
  • D. Movia
    Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
  • E. Auta
    Auta is a small settlement on the island of Mitiaro in the Cook Islands.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd1fc408190b4b5ca973bcee403 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5da0f708190b848601e571a9fff completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:11 p.m.