Triple

T15393160
Position Surface form Disambiguated ID Type / Status
Subject To Catch a Killer E368099 entity
Predicate director P255 FINISHED
Object Eric Till
Eric Till is a Canadian film and television director known for his work on dramas and thrillers across several decades.
 E1155422 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: Eric Till | Statement: [To Catch a Killer, director, Eric Till]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eric Till
Context triple: [To Catch a Killer, director, Eric Till]
  • A. Ben T. Epps
    Ben T. Epps was an early American aviation pioneer from Georgia, recognized as one of the first airplane designers and pilots in the state.
  • B. Stanley Nelson Jr.
    Stanley Nelson Jr. is an acclaimed American documentary filmmaker known for his powerful explorations of African American history and civil rights.
  • C. Alan Pattillo
    Alan Pattillo was a British film and television editor and director known for his work on series like "Thunderbirds" and various feature films.
  • D. Lenard A. Fisk
    Lenard A. Fisk is an American space physicist known for his leadership at NASA and his influential research on the heliosphere and solar-terrestrial interactions.
  • E. James Ingo Freed
    James Ingo Freed was a prominent American architect known for major public works such as the United States Holocaust Memorial Museum and the Air Force Memorial in Washington, D.C.
  • 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: Eric Till
Triple: [To Catch a Killer, director, Eric Till]
Generated description
Eric Till is a Canadian film and television director known for his work on dramas and thrillers across several decades.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eric Till
Target entity description: Eric Till is a Canadian film and television director known for his work on dramas and thrillers across several decades.
  • A. Ben T. Epps
    Ben T. Epps was an early American aviation pioneer from Georgia, recognized as one of the first airplane designers and pilots in the state.
  • B. Stanley Nelson Jr.
    Stanley Nelson Jr. is an acclaimed American documentary filmmaker known for his powerful explorations of African American history and civil rights.
  • C. Alan Pattillo
    Alan Pattillo was a British film and television editor and director known for his work on series like "Thunderbirds" and various feature films.
  • D. Lenard A. Fisk
    Lenard A. Fisk is an American space physicist known for his leadership at NASA and his influential research on the heliosphere and solar-terrestrial interactions.
  • E. James Ingo Freed
    James Ingo Freed was a prominent American architect known for major public works such as the United States Holocaust Memorial Museum and the Air Force Memorial in Washington, D.C.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1350699c8190acf7830d88455851 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff17c6837c8190a2b6fa1ac9c3de01 completed May 9, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_69ff184d63e88190906689e14cfc8933 completed May 9, 2026, 11:19 a.m.
Created at: April 10, 2026, 3:19 a.m.