Triple

T9732715
Position Surface form Disambiguated ID Type / Status
Subject Thomas Greene E235983 entity
Predicate hasSpellingVariant P457 FINISHED
Object Thomas Green
Thomas Green is a person whose name is an alternative spelling variant of Thomas Greene.
E818474 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: Thomas Green | Statement: [Thomas Greene, hasSpellingVariant, Thomas Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Green
Context triple: [Thomas Greene, hasSpellingVariant, Thomas Green]
  • A. John Stockwell
    John Stockwell is an American film director, screenwriter, and actor known for helming stylish action and thriller films such as "Into the Blue."
  • B. Thomas Matthew
    Thomas Matthew is the pseudonym of John Rogers, the 16th-century English Protestant who compiled and published the influential Matthew Bible translation.
  • C. Charles Paul Wilson III
    Charles Paul Wilson III is a comic book artist best known for his detailed, atmospheric illustrations on horror and fantasy titles such as "The Wraith."
  • D. Brian Young
    Brian Young is a musician best known as a member of the American alternative rock band The Walkabouts.
  • E. Tom Cross
    Tom Cross is an Academy Award–winning American film editor known for his work on acclaimed movies such as "Whiplash" and "La La Land."
  • 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: Thomas Green
Triple: [Thomas Greene, hasSpellingVariant, Thomas Green]
Generated description
Thomas Green is a person whose name is an alternative spelling variant of Thomas Greene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Green
Target entity description: Thomas Green is a person whose name is an alternative spelling variant of Thomas Greene.
  • A. John Stockwell
    John Stockwell is an American film director, screenwriter, and actor known for helming stylish action and thriller films such as "Into the Blue."
  • B. Thomas Matthew
    Thomas Matthew is the pseudonym of John Rogers, the 16th-century English Protestant who compiled and published the influential Matthew Bible translation.
  • C. Charles Paul Wilson III
    Charles Paul Wilson III is a comic book artist best known for his detailed, atmospheric illustrations on horror and fantasy titles such as "The Wraith."
  • D. Brian Young
    Brian Young is a musician best known as a member of the American alternative rock band The Walkabouts.
  • E. Tom Cross
    Tom Cross is an Academy Award–winning American film editor known for his work on acclaimed movies such as "Whiplash" and "La La Land."
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb3d6e4819090b3c7fb92550c57 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afc4dcc4819096d29c1a0529d272 completed April 5, 2026, 12:41 a.m.
NEDg Description generation batch_69d1b06d39b48190adaadbc81b4ffb9a completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1511c7c8190ba7bc691ab2d3a13 completed April 5, 2026, 12:48 a.m.
Created at: March 30, 2026, 8:22 p.m.