Triple

T9212291
Position Surface form Disambiguated ID Type / Status
Subject John Dawson E221151 entity
Predicate hasCharacterRelationshipWith P37304 FINISHED
Object Dawn E250040 NE FINISHED

How this triple was built (3 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: Dawn | Statement: [John Dawson, hasCharacterRelationshipWith, Dawn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawn
Context triple: [John Dawson, hasCharacterRelationshipWith, Dawn]
  • A. Dawn chosen
    Dawn is a feminine given name commonly associated with the early morning time when light first appears in the sky.
  • B. Dawn
    Dawn is a modernist sculpture featured in Ludwig Mies van der Rohe’s iconic Barcelona Pavilion.
  • C. Dawn
    Dawn was a NASA space probe that studied the protoplanet Vesta and the dwarf planet Ceres in the asteroid belt using ion propulsion.
  • D. Dawn
    Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
  • E. The Dawn
    The Dawn is the English meaning of the codename used for Operation al-Fajr, a military operation whose title evokes the imagery of a new beginning or breakthrough.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCharacterRelationshipWith
Context triple: [John Dawson, hasCharacterRelationshipWith, Dawn]
  • A. relationshipToCharacter
    Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
  • B. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • C. characterActorRelationship
    Indicates a relationship where an actor portrays or is associated with a specific character in a work.
  • D. hasProtagonistRelationship
    Indicates that there exists a central, story-driving relationship involving the protagonist and another entity within a narrative.
  • E. relatedCharacter chosen
    Indicates that one character has a specified relationship or association with another character.
  • F. None of above.

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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b69838819088f33ca995fce222 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0660839f88190afdfb8bc2d710fc3 completed April 4, 2026, 1:14 a.m.
PD Predicate disambiguation batch_69cc660ce23c81909c7bbe10f4a05f36 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:27 p.m.