Triple

T5613969
Position Surface form Disambiguated ID Type / Status
Subject Dylan McDermott E147429 entity
Predicate hasChild P369 FINISHED
Object Charlotte McDermott
Charlotte McDermott is the daughter of American actor Dylan McDermott.
E546318 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: Charlotte McDermott | Statement: [Dylan McDermott, hasChild, Charlotte McDermott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte McDermott
Context triple: [Dylan McDermott, hasChild, Charlotte McDermott]
  • A. Anne McCabe
    Anne McCabe is a film editor known for her work on major feature films and television projects, including the Fred Rogers-inspired drama "A Beautiful Day in the Neighborhood."
  • B. Colette McDermott
    Colette McDermott is an American actress and the daughter of actor Dylan McDermott.
  • C. Elizabeth McMasters
    Elizabeth McMasters is a fictional character from the 1940 film "Boom Town," which centers on the turbulent lives and relationships of oil wildcatters.
  • D. Lisa McDowell
    Lisa McDowell is the intelligent, independent love interest of Prince Akeem in the 1988 comedy film "Coming to America," known for challenging social expectations and valuing character over wealth.
  • E. Rebecca Giblin
    Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
  • 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: Charlotte McDermott
Triple: [Dylan McDermott, hasChild, Charlotte McDermott]
Generated description
Charlotte McDermott is the daughter of American actor Dylan McDermott.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charlotte McDermott
Target entity description: Charlotte McDermott is the daughter of American actor Dylan McDermott.
  • A. Anne McCabe
    Anne McCabe is a film editor known for her work on major feature films and television projects, including the Fred Rogers-inspired drama "A Beautiful Day in the Neighborhood."
  • B. Colette McDermott chosen
    Colette McDermott is an American actress and the daughter of actor Dylan McDermott.
  • C. Elizabeth McMasters
    Elizabeth McMasters is a fictional character from the 1940 film "Boom Town," which centers on the turbulent lives and relationships of oil wildcatters.
  • D. Lisa McDowell
    Lisa McDowell is the intelligent, independent love interest of Prince Akeem in the 1988 comedy film "Coming to America," known for challenging social expectations and valuing character over wealth.
  • E. Rebecca Giblin
    Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
  • F. None of above.

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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021226cf88190b70b4b51eb5b4144 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b099549881909e5f42c0e2363d59 completed March 23, 2026, 3:16 a.m.
NEDg Description generation batch_69c0b1c9ebdc819089752d150b584a6f completed March 23, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69c0b27981848190a5b7c618044241b0 completed March 23, 2026, 3:24 a.m.
Created at: March 22, 2026, 3:39 p.m.