Triple

T11147812
Position Surface form Disambiguated ID Type / Status
Subject Marianne E263713 entity
Predicate wears P271 FINISHED
Object Phrygian cap E406302 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: Phrygian cap | Statement: [Marianne, wears, Phrygian cap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phrygian cap
Context triple: [Marianne, wears, Phrygian cap]
  • A. Phrygian cap chosen
    The Phrygian cap is a soft, conical, forward-drooping hat that has long served as a symbol of freedom and revolution, especially in Western art and political iconography.
  • B. Olympic Phryge
    Olympic Phryge is the official mascot of the Paris 2024 Summer Olympics, depicted as a stylized Phrygian cap symbolizing freedom and the French revolutionary spirit.
  • C. Corinthian helmet
    The Corinthian helmet is an ancient Greek bronze helmet with a distinctive full-face design and slitted eye openings, commonly associated with classical Greek hoplite warriors.
  • D. Chapel Hats
    Chapel Hats is a retail store specializing in a wide variety of fashion hats and headwear for men and women.
  • E. Balaclava
    Balaclava is a suburb in Melbourne, Australia, known for its vibrant shopping strips, diverse community, and convenient access to the city via its railway station.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e86e9ef48190b4df4b14319a954f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e442248e588190b59866c79169c43a completed April 19, 2026, 2:47 a.m.
Created at: April 8, 2026, 9:28 p.m.