Triple

T11489461
Position Surface form Disambiguated ID Type / Status
Subject Lilith E272365 entity
Predicate fearedFor P99766 FINISHED
Object harming infants 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: harming infants | Statement: [Lilith, fearedFor, harming infants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fearedFor
Context triple: [Lilith, fearedFor, harming infants]
  • A. notableFear
    Indicates that one entity is especially afraid of, or has a significant fear related to, another entity.
  • B. pursuedForCrime
    Indicates that an entity is being actively sought or chased by authorities or others because of an alleged or committed crime.
  • C. arrestedFor
    Indicates that an authority has taken someone into custody because they are suspected or accused of committing a specified offense or wrongdoing.
  • D. allegedVictimOf
    Indicates that one entity is claimed or reported to have been harmed, wronged, or victimized by another entity, without asserting that the claim is proven.
  • E. suspectedPerpetrator
    Indicates that an entity is believed or alleged to be the person responsible for committing a particular harmful or illegal act.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a20df608190992543b4d7006f8a completed April 10, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69d808736c5c8190899b5b3b2e797f65 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d822ef46988190a1c360da4ee14fef completed April 9, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:36 p.m.