Triple

T30892736
Position Surface form Disambiguated ID Type / Status
Subject De Lacey family E786944 entity
Predicate encounterWithCreatureOutcome P102445 FINISHED
Object rejection of the Creature after initial contact 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: rejection of the Creature after initial contact | Statement: [De Lacey family, encounterWithCreatureOutcome, rejection of the Creature after initial contact]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: encounterWithCreatureOutcome
Context triple: [De Lacey family, encounterWithCreatureOutcome, rejection of the Creature after initial contact]
  • A. encountersSpecies
    Indicates that one entity comes into contact with or meets a particular species.
  • B. hasCreature
    Indicates that one entity possesses, contains, or is associated with a particular creature.
  • C. mentionsCreature
    Indicates that one entity refers to or brings up a particular creature in some form of communication or content.
  • D. usesCreature
    Indicates that one entity employs, controls, or relies on a creature to perform an action or fulfill a function.
  • E. wildlifeInteractionType chosen
    Indicates the type or nature of interaction occurring between wildlife and another entity (such as humans, other animals, or the environment).
  • F. None of above.

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_69f224bbfa7c81908448e0c261c523e3 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6923826008190931f5076cd002373 completed May 3, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69f68b7ec098819080480998038de940 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:49 p.m.