Triple

T15674172
Position Surface form Disambiguated ID Type / Status
Subject Grace Cooley E377393 entity
Predicate employer P7 FINISHED
Object Frank Cross
Frank Cross is the ruthless, work-obsessed television executive portrayed by Bill Murray in the 1988 Christmas film "Scrooged."
 E377391 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: Frank Cross | Statement: [Grace Cooley, employer, Frank Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frank Cross
Context triple: [Grace Cooley, employer, Frank Cross]
  • A. Frank Cross
    Frank Cross is the cynical, work-obsessed television executive portrayed by Bill Murray in the 1988 Christmas comedy film "Scrooged," a modern retelling of Charles Dickens' "A Christmas Carol."
  • B. James Cross
    James Cross is a character in the 1988 Christmas comedy film "Scrooged," appearing as a relative of the main character Frank Cross.
  • C. Peter Cross
    Peter Cross is an English illustrator and artist best known for his detailed, whimsical artwork, including cover illustrations for science fiction and fantasy books.
  • D. Theo Cross
    Theo Cross is the child of British actor Ben Cross, known for his role in the film "Chariots of Fire."
  • E. Damon Cross
    Damon Cross is a charismatic and morally ambiguous music executive and love interest in the TV series "Empire."
  • 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: Frank Cross
Triple: [Grace Cooley, employer, Frank Cross]
Generated description
Frank Cross is the ruthless, work-obsessed television executive portrayed by Bill Murray in the 1988 Christmas film "Scrooged."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frank Cross
Target entity description: Frank Cross is the ruthless, work-obsessed television executive portrayed by Bill Murray in the 1988 Christmas film "Scrooged."
  • A. Frank Cross chosen
    Frank Cross is the cynical, work-obsessed television executive portrayed by Bill Murray in the 1988 Christmas comedy film "Scrooged," a modern retelling of Charles Dickens' "A Christmas Carol."
  • B. James Cross
    James Cross is a character in the 1988 Christmas comedy film "Scrooged," appearing as a relative of the main character Frank Cross.
  • C. Peter Cross
    Peter Cross is an English illustrator and artist best known for his detailed, whimsical artwork, including cover illustrations for science fiction and fantasy books.
  • D. Theo Cross
    Theo Cross is the child of British actor Ben Cross, known for his role in the film "Chariots of Fire."
  • E. Damon Cross
    Damon Cross is a charismatic and morally ambiguous music executive and love interest in the TV series "Empire."
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87611d488190857c99e166ac9e8f completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8827e5e0819084e12bfd546ed215 completed May 9, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff88cfbe388190b20c426b4c745f92 completed May 9, 2026, 7:19 p.m.
Created at: April 10, 2026, 4:16 a.m.