Triple

T13854429
Position Surface form Disambiguated ID Type / Status
Subject Christopher Whitelaw Pine E333026 entity
Predicate familyName P18 FINISHED
Object Pine E43405 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: Pine | Statement: [Christopher Whitelaw Pine, familyName, Pine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pine
Context triple: [Christopher Whitelaw Pine, familyName, Pine]
  • A. Spruce
    Spruce is a surname of English origin borne by various individuals, including Stephanie Spruce.
  • B. Douglas fir
    Douglas fir is a large, long-lived conifer native to western North America, valued for its strong timber and ecological importance in mountain and coastal forests.
  • C. Pinus chosen
    Pinus is a large genus of coniferous trees and shrubs commonly known as pines, widely distributed across the Northern Hemisphere and valued for their timber, resin, and ornamental use.
  • D. Ponderosa pine
    Ponderosa pine is a large, long-lived coniferous tree native to western North America, known for its tall straight trunk, distinctive puzzle-like bark, and importance in montane forest ecosystems.
  • E. Pines
    Pines is a mystery-thriller novel by Blake Crouch that follows a Secret Service agent trapped in a seemingly idyllic but deeply sinister small town.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02db9c9c81909bb2d2fbfb7394b1 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f924808190856dd0116962eda7 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.