Triple

T31953301
Position Surface form Disambiguated ID Type / Status
Subject Maggie Lang E815838 entity
Predicate marriedToInMCU P138299 FINISHED
Object Paxton
Paxton is a character in the Marvel Cinematic Universe who serves as Maggie Lang’s husband and Cassie Lang’s stepfather in the Ant-Man films.
E1986378 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: Paxton | Statement: [Maggie Lang, marriedToInMCU, Paxton]
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: Paxton
Triple: [Maggie Lang, marriedToInMCU, Paxton]
Generated description
Paxton is a character in the Marvel Cinematic Universe who serves as Maggie Lang’s husband and Cassie Lang’s stepfather in the Ant-Man films.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriedToInMCU
Context triple: [Maggie Lang, marriedToInMCU, Paxton]
  • A. hasSpouseActorsInLeads
    Indicates that the primary leading roles in a work are performed by actors who are spouses of each other.
  • B. spouseAppearsIn
    Indicates that the spouse of a given person appears or is featured in a specified work, context, or setting.
  • C. spouseCharacterOf chosen
    Indicates a marital relationship where one character is the spouse of another character.
  • D. hasSpouseInTVSeries
    Indicates that one person is the spouse of another person within the context of a specific TV series.
  • E. spouseAssociatedWith
    Indicates a marital or spousal relationship or close association between two entities.
  • F. None of above.

Provenance (6 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_69f348f4ec708190abbb2a7c3ed58844 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fcda3699948190adb57625bae08091 completed May 7, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb14034e0819088f0cbbb5b77d160 completed June 14, 2026, 1:48 p.m.
NEDg Description generation batch_6a2eb233e01081908159fbbd94ad9d22 completed June 14, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a2eb2f4a710819098442ba2198aecf6 completed June 14, 2026, 1:56 p.m.
PD Predicate disambiguation batch_69fcd8fd16d08190b0aca6e19a632e99 completed May 7, 2026, 6:25 p.m.
Created at: May 1, 2026, 12:08 a.m.