Triple

T32591885
Position Surface form Disambiguated ID Type / Status
Subject Hazel Grace Lancaster E833092 entity
Predicate hasMetastasis P197528 FINISHED
Object lung metastases LITERAL 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: lung metastases | Statement: [Hazel Grace Lancaster, hasMetastasis, lung metastases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMetastasis
Context triple: [Hazel Grace Lancaster, hasMetastasis, lung metastases]
  • A. suggestsMetastaticSpreadVia
    Indicates that one entity provides evidence or implication that metastatic spread occurs through, or by means of, another entity or pathway.
  • B. suggestsMetastaticSpreadTo
    Indicates that one clinical or imaging finding implies the likely presence of cancer that has spread from its original site to distant locations in the body.
  • C. hasMalignantPotential
    Indicates that the subject has the capacity or tendency to become malignant or develop harmful, cancerous characteristics.
  • D. isMetastable
    Indicates that a state or configuration is temporarily stable but can transition to a more stable state under small perturbations or over time.
  • E. hasPrognosticFactor
    Indicates that something serves as a factor influencing or predicting the likely outcome or course of a condition, event, or situation.
  • F. None of above. chosen

Provenance (4 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_69f34929ff648190aded9424aa7564ae completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe991bca608190b524e419642f4243 completed May 9, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69fe979fc1c4819091fc48d63ea12063 completed May 9, 2026, 2:10 a.m.
PDg Predicate description generation batch_69fe991abc6c81908edbb98d61c9ca73 completed May 9, 2026, 2:16 a.m.
Created at: May 1, 2026, 1:05 a.m.