Triple

T7070927
Position Surface form Disambiguated ID Type / Status
Subject Thad Matta E164692 entity
Predicate familyName P18 FINISHED
Object Matta
Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
 E641302 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: Matta | Statement: [Thad Matta, familyName, Matta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matta
Context triple: [Thad Matta, familyName, Matta]
  • A. Martis
    Martis is a small town and comune in the Gallura region of northern Sardinia, Italy.
  • B. Maseo
    Maseo is the DJ and producer of the influential hip hop group De La Soul, known for his role in shaping their innovative, sample-rich sound.
  • C. Mata
    Mata is a title used in certain South Asian cultural and religious contexts, often signifying a revered mother figure or goddess.
  • D. Rinaldi
    Rinaldi is the jovial, womanizing Italian army surgeon and close friend of Frederic Henry in Ernest Hemingway’s novel "A Farewell to Arms."
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • 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: Matta
Triple: [Thad Matta, familyName, Matta]
Generated description
Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matta
Target entity description: Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
  • A. Martis
    Martis is a small town and comune in the Gallura region of northern Sardinia, Italy.
  • B. Maseo
    Maseo is the DJ and producer of the influential hip hop group De La Soul, known for his role in shaping their innovative, sample-rich sound.
  • C. Mata
    Mata is a title used in certain South Asian cultural and religious contexts, often signifying a revered mother figure or goddess.
  • D. Rinaldi
    Rinaldi is the jovial, womanizing Italian army surgeon and close friend of Frederic Henry in Ernest Hemingway’s novel "A Farewell to Arms."
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4c862f481908d1faf6ed57774f1 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7945a98108190b982ad41222333e4 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c7987eb82c819097194f3b1a5ebfac completed March 28, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_69c79a9087508190b56f14e193d924ca completed March 28, 2026, 9:08 a.m.
Created at: March 27, 2026, 2:39 p.m.