Triple

T14746110
Position Surface form Disambiguated ID Type / Status
Subject Sister Act 2: Back in the Habit E346471 entity
Predicate editedBy P1954 FINISHED
Object John Carter
John Carter is a film editor best known for his work on movies such as "Sister Act 2: Back in the Habit."
E1119949 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: John Carter | Statement: [Sister Act 2: Back in the Habit, editedBy, John Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Carter
Context triple: [Sister Act 2: Back in the Habit, editedBy, John Carter]
  • A. John Carter
    John Carter is a 2012 science fiction action film, based on Edgar Rice Burroughs' Barsoom novels, that follows a Civil War veteran mysteriously transported to Mars and caught in a planetary conflict.
  • B. John Carter
    John Carter was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • C. John Carter
    John Carter is a music producer best known for his work on Tina Turner’s landmark 1984 album "Private Dancer."
  • D. John Carter
    John Carter is a fictional physician and central character on the television series "ER," known for his long-term development from medical student to experienced doctor.
  • E. John Carter
    John Carter is a former American ice hockey forward best known for his standout collegiate career at Rensselaer Polytechnic Institute and subsequent play in the NHL.
  • 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: John Carter
Triple: [Sister Act 2: Back in the Habit, editedBy, John Carter]
Generated description
John Carter is a film editor best known for his work on movies such as "Sister Act 2: Back in the Habit."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Carter
Target entity description: John Carter is a film editor best known for his work on movies such as "Sister Act 2: Back in the Habit."
  • A. John Carter
    John Carter is a film editor best known for his work on notable movies such as the 1995 drama "Waiting to Exhale."
  • B. John Carter
    John Carter is a music producer best known for his work on Tina Turner’s landmark 1984 album "Private Dancer."
  • C. John Carter
    John Carter is a British songwriter and record producer best known for his work in 1960s and 1970s pop music, including hits like "Beach Baby."
  • D. John Carter
    John Carter is a 2012 science fiction action film, based on Edgar Rice Burroughs' Barsoom novels, that follows a Civil War veteran mysteriously transported to Mars and caught in a planetary conflict.
  • E. John Carter
    John Carter is a fictional physician and central character on the television series "ER," known for his long-term development from medical student to experienced doctor.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ae3d6c819080c015ebc6bc9af0 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe26d7be04819090860d5180c72329 completed May 8, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69fe277c73c481908ca3bdb1c2113598 completed May 8, 2026, 6:12 p.m.
Created at: April 10, 2026, 1:30 a.m.