Triple

T16004632
Position Surface form Disambiguated ID Type / Status
Subject Laureline E388184 entity
Predicate partner P1136 FINISHED
Object Valerian E388183 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: Valerian | Statement: [Laureline, partner, Valerian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valerian
Context triple: [Laureline, partner, Valerian]
  • A. Valerian chosen
    Valerian is a space-traveling special agent and the central protagonist of the science fiction film "Valerian and the City of a Thousand Planets."
  • B. Valerian
    Valerian was a 3rd-century Roman emperor whose reign is most remembered for his catastrophic defeat and capture by the Sasanian king Shapur I.
  • C. Valeriana
    Valeriana is a genus of flowering plants best known for species like Valeriana officinalis, whose roots are widely used in herbal medicine as a mild sedative and sleep aid.
  • D. Angelica
    Angelica is a cunning and resourceful pirate and former love interest of Jack Sparrow who plays a central role in Pirates of the Caribbean: On Stranger Tides.
  • E. Angelica
    Angelica is a feminine given name of Latin origin, commonly associated with the meaning "angelic" or "messenger of God."
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fe776c81908f7bf29ef064a6ba completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.