Triple

T22802884
Position Surface form Disambiguated ID Type / Status
Subject Lucky Me E564447 entity
Predicate editedBy P1954 FINISHED
Object Thomas Reilly
Thomas Reilly is an editor known for his work on the film "Lucky Me."
E1559158 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: Thomas Reilly | Statement: [Lucky Me, editedBy, Thomas Reilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Reilly
Context triple: [Lucky Me, editedBy, Thomas Reilly]
  • A. Paul Reaney
    Paul Reaney is an English former right-back best known for his long and successful spell with Don Revie’s Leeds United during the 1960s and 1970s.
  • B. Thomas Doherty
    Thomas Doherty is a Scottish actor and singer best known for his roles in Disney Channel’s "The Lodge," the "Descendants" film series, and the reboot of "Gossip Girl."
  • C. John Doherty
    John Doherty is known as the husband of American actress Michael Learned, famed for her role as Olivia Walton on the television series "The Waltons."
  • D. Frank Corrigan
    Frank Corrigan is a relatively obscure individual whose name is notable primarily for its appearance in records or references rather than for widely recognized public achievements.
  • E. George Tully
    George Tully was an architect known for his work on prominent 18th-century buildings in Bristol, England, including the historic Bristol Old Vic theatre.
  • 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: Thomas Reilly
Triple: [Lucky Me, editedBy, Thomas Reilly]
Generated description
Thomas Reilly is an editor known for his work on the film "Lucky Me."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Reilly
Target entity description: Thomas Reilly is an editor known for his work on the film "Lucky Me."
  • A. Paul Reaney
    Paul Reaney is an English former right-back best known for his long and successful spell with Don Revie’s Leeds United during the 1960s and 1970s.
  • B. Thomas Doherty
    Thomas Doherty is a Scottish actor and singer best known for his roles in Disney Channel’s "The Lodge," the "Descendants" film series, and the reboot of "Gossip Girl."
  • C. John Doherty
    John Doherty is known as the husband of American actress Michael Learned, famed for her role as Olivia Walton on the television series "The Waltons."
  • D. Frank Corrigan
    Frank Corrigan is a relatively obscure individual whose name is notable primarily for its appearance in records or references rather than for widely recognized public achievements.
  • E. George Tully
    George Tully was an architect known for his work on prominent 18th-century buildings in Bristol, England, including the historic Bristol Old Vic theatre.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdf1e308190a05d0f61856be544 completed April 29, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae7cb01881908513e1b35a766fce completed May 19, 2026, 12:27 a.m.
NEDg Description generation batch_6a0bb0011dfc8190abb4b0dc9dd8c018 completed May 19, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb0944ba48190974df20fc1f1b8c8 completed May 19, 2026, 12:36 a.m.
Created at: April 17, 2026, 3:31 p.m.