Triple

T3226120
Position Surface form Disambiguated ID Type / Status
Subject Thomas E67625 entity
Predicate shortForm P43 FINISHED
Object Thom
Thom is a given name, typically used as a shortened or variant form of the name Thomas.
E337333 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: Thom | Statement: [Thomas, shortForm, Thom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thom
Context triple: [Thomas, shortForm, Thom]
  • A. Thom Mount
    Thom Mount is an American film producer and former president of Universal Pictures known for overseeing and producing a range of influential Hollywood films.
  • B. Scott Thompson
    Scott Thompson is a Canadian comedian and actor best known as a core cast member of the influential sketch comedy troupe The Kids in the Hall.
  • C. Christopher Thompson
    Christopher Thompson is a French screenwriter, actor, and director known for his work on numerous films and collaborations within French cinema.
  • D. Chris Thomas
    Chris Thomas is a renowned British record producer known for his work with major rock acts such as The Beatles, Pink Floyd, and the Sex Pistols.
  • E. Andy Thompson
    Andy Thompson is a musician best known for his work with the indie supergroup Gayngs and his contributions as a producer and arranger in the alternative music scene.
  • 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: Thom
Triple: [Thomas, shortForm, Thom]
Generated description
Thom is a given name, typically used as a shortened or variant form of the name Thomas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thom
Target entity description: Thom is a given name, typically used as a shortened or variant form of the name Thomas.
  • A. Thom Mount
    Thom Mount is an American film producer and former president of Universal Pictures known for overseeing and producing a range of influential Hollywood films.
  • B. Scott Thompson
    Scott Thompson is a Canadian comedian and actor best known as a core cast member of the influential sketch comedy troupe The Kids in the Hall.
  • C. Christopher Thompson
    Christopher Thompson is a French screenwriter, actor, and director known for his work on numerous films and collaborations within French cinema.
  • D. Chris Thomas
    Chris Thomas is a renowned British record producer known for his work with major rock acts such as The Beatles, Pink Floyd, and the Sex Pistols.
  • E. Andy Thompson
    Andy Thompson is a musician best known for his work with the indie supergroup Gayngs and his contributions as a producer and arranger in the alternative music scene.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb4cd3481908af8a2c9b6c0742d completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2625eaa708190b23ca6e575d664a2 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264e25bd48190978a289565854297 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b265cd3fcc8190bc56bbf2de229386 completed March 12, 2026, 7:05 a.m.
Created at: March 8, 2026, 3:08 p.m.