Triple

T20059252
Position Surface form Disambiguated ID Type / Status
Subject Cross E499424 entity
Predicate hasNotableBearer P458 FINISHED
Object Michael Cross
Michael Cross is a relatively common personal name shared by multiple individuals across various professions, including arts, sports, and academia.
E1409940 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: Michael Cross | Statement: [Cross, hasNotableBearer, Michael Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Cross
Context triple: [Cross, hasNotableBearer, Michael Cross]
  • A. Larry Cross
    Larry Cross is an actor known for his role in the film "Embassy."
  • B. 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."
  • C. Jonathan Cross
    Jonathan Cross is a relatively obscure individual whose name is shared with multiple people across fields such as academia, sports, and the arts, without a single widely recognized primary figure.
  • D. Damon Cross
    Damon Cross is a charismatic and morally ambiguous music executive and love interest in the TV series "Empire."
  • E. 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.
  • 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: Michael Cross
Triple: [Cross, hasNotableBearer, Michael Cross]
Generated description
Michael Cross is a relatively common personal name shared by multiple individuals across various professions, including arts, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Cross
Target entity description: Michael Cross is a relatively common personal name shared by multiple individuals across various professions, including arts, sports, and academia.
  • A. Larry Cross
    Larry Cross is an actor known for his role in the film "Embassy."
  • B. 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."
  • C. Jonathan Cross
    Jonathan Cross is a relatively obscure individual whose name is shared with multiple people across fields such as academia, sports, and the arts, without a single widely recognized primary figure.
  • D. Damon Cross
    Damon Cross is a charismatic and morally ambiguous music executive and love interest in the TV series "Empire."
  • E. 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.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66373e0e08190a6d8a10084eecc4d completed April 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f33d7808190b71c69701fc85a02 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a0820d8d2c48190b8c75fc59e43462a completed May 16, 2026, 7:46 a.m.
NED2 Entity disambiguation (via description) batch_6a08212942e88190a385e094a27b3ede completed May 16, 2026, 7:47 a.m.
Created at: April 11, 2026, 3:38 p.m.