Triple

T979362
Position Surface form Disambiguated ID Type / Status
Subject Tom Canty E21131 entity
Predicate givenName P17 FINISHED
Object Tom
Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
 E128299 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: Tom | Statement: [Tom Canty, givenName, Tom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom
Context triple: [Tom Canty, givenName, Tom]
  • A. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • B. Tim
    Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
  • C. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • D. Tony
    Tony is one of the central protagonists in Margaret Atwood’s novel "The Robber Bride," known for her intellectual, introspective nature and complex relationships with the other main characters.
  • E. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • 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: Tom
Triple: [Tom Canty, givenName, Tom]
Generated description
Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom
Target entity description: Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • A. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • B. Tim
    Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
  • C. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • D. Tony
    Tony is one of the central protagonists in Margaret Atwood’s novel "The Robber Bride," known for her intellectual, introspective nature and complex relationships with the other main characters.
  • E. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b479e8f081908183448c36244e1f completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac537d788c81908d239f102626bdd6 completed March 7, 2026, 4:34 p.m.
NEDg Description generation batch_69ac544fc41881908daff6b313622619 completed March 7, 2026, 4:37 p.m.
NED2 Entity disambiguation (via description) batch_69ac5526679081909c9f7458bd316ff6 completed March 7, 2026, 4:41 p.m.
Created at: March 1, 2026, 7:40 p.m.