Triple

T15907963
Position Surface form Disambiguated ID Type / Status
Subject 61* E385769 entity
Predicate cinematographyBy P1953 FINISHED
Object Mike O'Shea
Mike O'Shea is a cinematographer known for his work on the film "61*," contributing to its visual style and storytelling.
E1308734 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: Mike O'Shea | Statement: [61*, cinematographyBy, Mike O'Shea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike O'Shea
Context triple: [61*, cinematographyBy, Mike O'Shea]
  • A. Mike O’Shea
    Mike O’Shea is a Canadian football coach and former linebacker best known for leading the Winnipeg Blue Bombers to multiple Grey Cup championships in the CFL.
  • B. Michael O'Shea
    Michael O'Shea was an American film and television actor active in the mid-20th century, known for roles in movies such as "The Eve of St. Mark" and "Jack London."
  • C. Steve O'Brien
    Steve O'Brien is an individual known primarily as the sibling of Jack O'Brien.
  • D. Kevin Sheehan
    Kevin Sheehan is a character in the television series "Mare of Easttown," known as the troubled son of the protagonist, Mare Sheehan.
  • E. Brian O’Shea
    Brian O’Shea is a film producer known for his work on the drama feature "At Any Price."
  • 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: Mike O'Shea
Triple: [61*, cinematographyBy, Mike O'Shea]
Generated description
Mike O'Shea is a cinematographer known for his work on the film "61*," contributing to its visual style and storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mike O'Shea
Target entity description: Mike O'Shea is a cinematographer known for his work on the film "61*," contributing to its visual style and storytelling.
  • A. Mike O’Shea
    Mike O’Shea is a Canadian football coach and former linebacker best known for leading the Winnipeg Blue Bombers to multiple Grey Cup championships in the CFL.
  • B. Michael O'Shea
    Michael O'Shea was an American film and television actor active in the mid-20th century, known for roles in movies such as "The Eve of St. Mark" and "Jack London."
  • C. Steve O'Brien
    Steve O'Brien is an individual known primarily as the sibling of Jack O'Brien.
  • D. Kevin Sheehan
    Kevin Sheehan is a character in the television series "Mare of Easttown," known as the troubled son of the protagonist, Mare Sheehan.
  • E. Brian O’Shea
    Brian O’Shea is a film producer known for his work on the drama feature "At Any Price."
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03852d4f988190aa778537ab9e3b9e completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a038a9d02d48190b337f6f611fc6840 completed May 12, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_6a038b2720548190baaafbc022f36163 completed May 12, 2026, 8:18 p.m.
Created at: April 10, 2026, 4:52 a.m.