Triple

T15469189
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Tyre E372111 entity
Predicate product P490 FINISHED
Object Tyrian purple E164372 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: Tyrian purple | Statement: [Kingdom of Tyre, product, Tyrian purple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyrian purple
Context triple: [Kingdom of Tyre, product, Tyrian purple]
  • A. Tyrian purple chosen
    Tyrian purple is a famous ancient royal purple dye, historically prized for its vivid color and rarity, originally produced from sea snails along the Phoenician coast.
  • B. Ultramarine
    Ultramarine is a poetry collection by American writer Raymond Carver that showcases his characteristically spare, emotionally resonant style.
  • C. Amarantine
    Amarantine is a 2005 studio album by Irish singer Enya, known for its ethereal new-age sound and lush, layered vocals.
  • D. Carmine
    Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
  • E. Rose Madder
    Rose Madder is a psychological horror novel by Stephen King that follows an abused woman who escapes her violent husband and becomes entangled with a supernatural painting.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6b49788190b270fdfe92646842 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3657972481909219bc040f674c02 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:33 a.m.