Triple

T3372599
Position Surface form Disambiguated ID Type / Status
Subject Matthew E70988 entity
Predicate hasShortForm P43 FINISHED
Object Mat
Mat is a common shortened form of the given name Matthew, often used as an informal or familiar nickname.
E354151 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: Mat | Statement: [Matthew, hasShortForm, Mat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mat
Context triple: [Matthew, hasShortForm, Mat]
  • A. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • B. Matt
    Matt is the given name of Matt Eberflus, an American football coach best known as the head coach of the Chicago Bears in the NFL.
  • C. Matrix
    Matrix is a professional haircare and hair color brand widely used in salons and owned by the cosmetics company L'Oréal.
  • D. Matrix
    The Matrix is a vast, sentient data repository and virtual reality construct on Gallifrey that stores the knowledge, memories, and consciousness of Time Lords in the Doctor Who universe.
  • E. Mats
    Mats is a masculine given name commonly used in Scandinavian countries, particularly Sweden and Norway.
  • 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: Mat
Triple: [Matthew, hasShortForm, Mat]
Generated description
Mat is a common shortened form of the given name Matthew, often used as an informal or familiar nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mat
Target entity description: Mat is a common shortened form of the given name Matthew, often used as an informal or familiar nickname.
  • A. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • B. Matt
    Matt is the given name of Matt Eberflus, an American football coach best known as the head coach of the Chicago Bears in the NFL.
  • C. Matrix
    Matrix is a professional haircare and hair color brand widely used in salons and owned by the cosmetics company L'Oréal.
  • D. Matrix
    The Matrix is a vast, sentient data repository and virtual reality construct on Gallifrey that stores the knowledge, memories, and consciousness of Time Lords in the Doctor Who universe.
  • E. Mats
    Mats is a masculine given name commonly used in Scandinavian countries, particularly Sweden and Norway.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bdcf70819087fc7e00fbd61e0d completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343fd8a08190bf426884ec42948c completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334e5171c8190a01bb6fef5644825 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3390c50b08190b6239b5f0d1eb4ba completed March 12, 2026, 10:07 p.m.
Created at: March 8, 2026, 3:13 p.m.