Triple

T18762833
Position Surface form Disambiguated ID Type / Status
Subject Laser E458815 entity
Predicate hasMother P1909 FINISHED
Object Nic
Nic is the mother of Laser, a person identified through their parental relationship.
 E1344915 NE FINISHED

How this triple was built (4 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: Nic | Statement: [Laser, hasMother, Nic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nic
Context triple: [Laser, hasMother, Nic]
  • A. Nic
    Nic is the central protagonist of the novel "The Spare Room," around whom the story’s emotional and narrative developments revolve.
  • B. Nic
    Nic is an individual known primarily as the biological child of Paul.
  • C. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • D. Nic
    Nic is one of the two lesbian mothers in the film "The Kids Are All Right," portrayed as a responsible, controlling physician whose family life is disrupted when her children seek out their sperm-donor father.
  • E. Nic
    Nic is a short given name or nickname commonly used for people named Nicholas, Nicola, or similar names.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nic
Triple: [Laser, hasMother, Nic]
Generated description
Nic is the mother of Laser, a person identified through their parental relationship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nic
Target entity description: Nic is the mother of Laser, a person identified through their parental relationship.
  • A. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • B. Nic
    Nic is one of the two lesbian mothers in the film "The Kids Are All Right," portrayed as a responsible, controlling physician whose family life is disrupted when her children seek out their sperm-donor father.
  • C. Nic
    Nic is a short given name or nickname commonly used for people named Nicholas, Nicola, or similar names.
  • D. Nic
    Nic is the central protagonist of the novel "The Spare Room," around whom the story’s emotional and narrative developments revolve.
  • E. Nic
    Nic is an individual known primarily as the biological child of Paul.
  • F. None of above. chosen

Provenance (5 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d80a954819083946dafc0c7af05 completed April 20, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bb46ef88190a5da0f3f7ebb3a38 completed May 14, 2026, 5:20 a.m.
NEDg Description generation batch_6a055d8ac7cc81909fe88b26c568bbde completed May 14, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_6a055dbba9a481909a8c7c4c6bdab27f completed May 14, 2026, 5:29 a.m.
Created at: April 10, 2026, 11:52 a.m.