Triple

T8391133
Position Surface form Disambiguated ID Type / Status
Subject Port Moody E197944 entity
Predicate hasMayor P185 FINISHED
Object Meghan Lahti
Meghan Lahti is a Canadian municipal politician who serves as the mayor of Port Moody, British Columbia.
 E730836 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: Meghan Lahti | Statement: [Port Moody, hasMayor, Meghan Lahti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meghan Lahti
Context triple: [Port Moody, hasMayor, Meghan Lahti]
  • A. Kaitlin Olson
    Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
  • B. Meghan McDermott
    Meghan McDermott is an American public relations and communications professional best known for her marriage to actor Theo Rossi.
  • C. Natassia Malthe
    Natassia Malthe is a Norwegian-Canadian actress and model known for her roles in action and fantasy films and television series.
  • D. Leah Haywood
    Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
  • E. Deborah Anne Mazar
    Deborah Anne Mazar is an American actress known for her sharp-tongued, tough-girl roles in film and television, including notable appearances in "Goodfellas," "Entourage," and "Younger."
  • 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: Meghan Lahti
Triple: [Port Moody, hasMayor, Meghan Lahti]
Generated description
Meghan Lahti is a Canadian municipal politician who serves as the mayor of Port Moody, British Columbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meghan Lahti
Target entity description: Meghan Lahti is a Canadian municipal politician who serves as the mayor of Port Moody, British Columbia.
  • A. Kaitlin Olson
    Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
  • B. Meghan McDermott
    Meghan McDermott is an American public relations and communications professional best known for her marriage to actor Theo Rossi.
  • C. Natassia Malthe
    Natassia Malthe is a Norwegian-Canadian actress and model known for her roles in action and fantasy films and television series.
  • D. Leah Haywood
    Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
  • E. Deborah Anne Mazar
    Deborah Anne Mazar is an American actress known for her sharp-tongued, tough-girl roles in film and television, including notable appearances in "Goodfellas," "Entourage," and "Younger."
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810c5c5c81908e124c64911c4e6c completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde84d6f3c8190ba12905ba5900087 completed April 2, 2026, 3:53 a.m.
NEDg Description generation batch_69cdebfc63e8819087f5c1d588b58e21 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded77618c81909e8786ccd2f3e4b6 completed April 2, 2026, 4:15 a.m.
Created at: March 30, 2026, 6:03 p.m.