Triple

T19627740
Position Surface form Disambiguated ID Type / Status
Subject Chris Long E471181 entity
Predicate spouse P13 FINISHED
Object Megan O’Malley
Megan O’Malley is a former collegiate lacrosse player and public figure known primarily as the wife of retired NFL defensive end and philanthropist Chris Long.
E1433662 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: Megan O’Malley | Statement: [Chris Long, spouse, Megan O’Malley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Megan O’Malley
Context triple: [Chris Long, spouse, Megan O’Malley]
  • A. Megan Walsh
    Megan Walsh is the teenage government-trained assassin who goes undercover as a high school student in the action-comedy film "Barely Lethal."
  • B. Megan McCloskey
    Megan McCloskey is an American journalist known for her investigative reporting, particularly on military and veterans’ issues.
  • C. Megan Ferguson
    Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
  • D. Caitlin McHugh
    Caitlin McHugh is an American actress, model, and writer known for her work in film and television and for being married to actor John Stamos.
  • E. Megan Duffy
    Megan Duffy is an American actress and producer best known for her work in independent horror films and genre television.
  • 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: Megan O’Malley
Triple: [Chris Long, spouse, Megan O’Malley]
Generated description
Megan O’Malley is a former collegiate lacrosse player and public figure known primarily as the wife of retired NFL defensive end and philanthropist Chris Long.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Megan O’Malley
Target entity description: Megan O’Malley is a former collegiate lacrosse player and public figure known primarily as the wife of retired NFL defensive end and philanthropist Chris Long.
  • A. Megan Walsh
    Megan Walsh is the teenage government-trained assassin who goes undercover as a high school student in the action-comedy film "Barely Lethal."
  • B. Megan McCloskey
    Megan McCloskey is an American journalist known for her investigative reporting, particularly on military and veterans’ issues.
  • C. Megan Ferguson
    Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
  • D. Caitlin McHugh
    Caitlin McHugh is an American actress, model, and writer known for her work in film and television and for being married to actor John Stamos.
  • E. Megan Duffy
    Megan Duffy is an American actress and producer best known for her work in independent horror films and genre television.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640eadcc48190ab5e36ddcde0c328 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089399e7b88190864e9000384d098f completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a08943ff9b08190aa420d0d2f8d9723 completed May 16, 2026, 3:58 p.m.
NED2 Entity disambiguation (via description) batch_6a089497f8fc81909e1ef6ace3d8336f completed May 16, 2026, 4 p.m.
Created at: April 10, 2026, 1:44 p.m.