Triple

T20059255
Position Surface form Disambiguated ID Type / Status
Subject Cross E499424 entity
Predicate hasNotableBearer P458 FINISHED
Object William Cross
William Cross is a personal name shared by several notable individuals across fields such as politics, sports, and academia.
E1412661 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: William Cross | Statement: [Cross, hasNotableBearer, William Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Cross
Context triple: [Cross, hasNotableBearer, William Cross]
  • A. James Cross
    James Cross is a character in the 1988 Christmas comedy film "Scrooged," appearing as a relative of the main character Frank Cross.
  • B. Robert Cross
    Robert Cross is a relatively common personal name that may refer to multiple individuals across various fields rather than a single widely recognized figure.
  • C. John Walter Cross
    John Walter Cross was an English banker and literary figure best known as the husband and later biographer of the novelist George Eliot.
  • D. Frank Pearce
    Frank Pearce is a video game developer and co-founder of Blizzard Entertainment, known for helping build some of the most influential franchises in modern gaming.
  • E. Larry Cross
    Larry Cross is an actor known for his role in the film "Embassy."
  • 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: William Cross
Triple: [Cross, hasNotableBearer, William Cross]
Generated description
William Cross is a personal name shared by several notable individuals across fields such as politics, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: William Cross
Target entity description: William Cross is a personal name shared by several notable individuals across fields such as politics, sports, and academia.
  • A. James Cross
    James Cross is a character in the 1988 Christmas comedy film "Scrooged," appearing as a relative of the main character Frank Cross.
  • B. Robert Cross
    Robert Cross is a relatively common personal name that may refer to multiple individuals across various fields rather than a single widely recognized figure.
  • C. John Walter Cross
    John Walter Cross was an English banker and literary figure best known as the husband and later biographer of the novelist George Eliot.
  • D. Frank Pearce
    Frank Pearce is a video game developer and co-founder of Blizzard Entertainment, known for helping build some of the most influential franchises in modern gaming.
  • E. Larry Cross
    Larry Cross is an actor known for his role in the film "Embassy."
  • 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_6a082dc8db54819092ced7c6a506afaa completed May 16, 2026, 8:41 a.m.
NEDg Description generation batch_6a082e93a1e88190bac5daae12ece9f2 completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f334dd481908edb6ea3ae07e0a7 completed May 16, 2026, 8:47 a.m.
Created at: April 11, 2026, 3:38 p.m.