Triple

T4642924
Position Surface form Disambiguated ID Type / Status
Subject The Kids Are All Right E101695 entity
Predicate character P662 FINISHED
Object Laser
Laser is a teenage son in the 2010 film "The Kids Are All Right," whose curiosity about his biological father helps drive the story’s family-centered plot.
 E458815 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: Laser | Statement: [The Kids Are All Right, character, Laser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laser
Context triple: [The Kids Are All Right, character, Laser]
  • A. Laser
    Laser is the costumed mascot representing Lasell University at its athletic events and campus activities.
  • B. Lasers
    Lasers is Lupe Fiasco’s third studio album, known for its politically charged lyrics, pop-oriented production, and contentious relationship with both his label and core fanbase.
  • C. LaserLight
    "LaserLight" is a dance-pop song by English singer Jessie J, known for its energetic beat and uplifting, club-ready chorus.
  • D. Wonskolaser
    Wonskolaser is the original family surname of Harry Warner, one of the co-founding Warner brothers of Warner Bros. Studios.
  • E. Maser
    Maser is a small town in the Veneto region of northern Italy, noted for its Renaissance architecture and association with the architect Andrea Palladio.
  • 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: Laser
Triple: [The Kids Are All Right, character, Laser]
Generated description
Laser is a teenage son in the 2010 film "The Kids Are All Right," whose curiosity about his biological father helps drive the story’s family-centered plot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laser
Target entity description: Laser is a teenage son in the 2010 film "The Kids Are All Right," whose curiosity about his biological father helps drive the story’s family-centered plot.
  • A. Laser
    Laser is the costumed mascot representing Lasell University at its athletic events and campus activities.
  • B. Lasers
    Lasers is Lupe Fiasco’s third studio album, known for its politically charged lyrics, pop-oriented production, and contentious relationship with both his label and core fanbase.
  • C. LaserLight
    "LaserLight" is a dance-pop song by English singer Jessie J, known for its energetic beat and uplifting, club-ready chorus.
  • D. Wonskolaser
    Wonskolaser is the original family surname of Harry Warner, one of the co-founding Warner brothers of Warner Bros. Studios.
  • E. Maser
    Maser is a small town in the Veneto region of northern Italy, noted for its Renaissance architecture and association with the architect Andrea Palladio.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a93047c8190990c94fd5a57c867 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfad80f14819097e022c9d9da17eb completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfdd7d3b881909dd8b362802005d8 completed March 21, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69bdfe48ed088190ba1de18bba4e9977 completed March 21, 2026, 2:11 a.m.
Created at: March 20, 2026, 1:14 p.m.