Triple

T20059266
Position Surface form Disambiguated ID Type / Status
Subject Cross E499424 entity
Predicate hasNotableBearer P458 FINISHED
Object Paul Cross
Paul Cross is a relatively obscure individual whose specific public notability is not clearly established from the given information.
E1411415 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: Paul Cross | Statement: [Cross, hasNotableBearer, Paul Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Cross
Context triple: [Cross, hasNotableBearer, Paul Cross]
  • A. Kevin Cross
    Kevin Cross is a notable individual whose name is associated with achievements significant enough to be specifically recognized, though further context is needed to determine his primary field or accomplishments.
  • B. Chris Cross
    Chris Cross is an English musician and bassist best known for his work with the influential new wave band Ultravox.
  • C. Dan Cross
    Dan Cross is a television writer and producer best known for co-creating the Disney XD comedy series "Pair of Kings."
  • D. Thomas Cross
    Thomas Cross is a relatively obscure name that may refer to multiple individuals across different fields, with no single widely recognized figure dominating its usage.
  • E. Roger Cross
    Roger Cross is a Canadian actor known for prominent roles in science fiction and action television series, including major parts in shows like 24 and Continuum.
  • 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: Paul Cross
Triple: [Cross, hasNotableBearer, Paul Cross]
Generated description
Paul Cross is a relatively obscure individual whose specific public notability is not clearly established from the given information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul Cross
Target entity description: Paul Cross is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • A. Kevin Cross
    Kevin Cross is a notable individual whose name is associated with achievements significant enough to be specifically recognized, though further context is needed to determine his primary field or accomplishments.
  • B. Chris Cross
    Chris Cross is an English musician and bassist best known for his work with the influential new wave band Ultravox.
  • C. Dan Cross
    Dan Cross is a television writer and producer best known for co-creating the Disney XD comedy series "Pair of Kings."
  • D. Thomas Cross
    Thomas Cross is a relatively obscure name that may refer to multiple individuals across different fields, with no single widely recognized figure dominating its usage.
  • E. Roger Cross
    Roger Cross is a Canadian actor known for prominent roles in science fiction and action television series, including major parts in shows like 24 and Continuum.
  • 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_6a0826fe50b481908c6cdefea4e10f8d completed May 16, 2026, 8:12 a.m.
NEDg Description generation batch_6a08295f91f88190868945d0368395bb completed May 16, 2026, 8:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0829c935708190978ed4e447c12585 completed May 16, 2026, 8:24 a.m.
Created at: April 11, 2026, 3:38 p.m.