Triple

T7070926
Position Surface form Disambiguated ID Type / Status
Subject Thad Matta E164692 entity
Predicate givenName P17 FINISHED
Object Thad
Thad is the given name of Thad Matta, a prominent American college basketball coach best known for his successful tenure at Ohio State University.
E641301 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: Thad | Statement: [Thad Matta, givenName, Thad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thad
Context triple: [Thad Matta, givenName, Thad]
  • A. Thamon Hayes
    Thamon Hayes was an American jazz trombonist, composer, and bandleader best known for his influential role in the Kansas City jazz scene, including his work with Bennie Moten’s orchestra.
  • B. Tanner
    Tanner is a surname of Finnish origin, notably borne by the politician Väinö Tanner.
  • C. Eli Pittman
    Eli Pittman was an individual significant enough in the local history or development of Sevier County, Tennessee, that the town of Pittman Center was named in his honor.
  • D. Trevor
    Trevor is a village in Wrexham County Borough, Wales, known for its proximity to the UNESCO-listed Pontcysyllte Aqueduct on the Llangollen Canal.
  • E. Trevor
    Trevor is a masculine given name of English origin commonly used in the UK and other 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: Thad
Triple: [Thad Matta, givenName, Thad]
Generated description
Thad is the given name of Thad Matta, a prominent American college basketball coach best known for his successful tenure at Ohio State University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thad
Target entity description: Thad is the given name of Thad Matta, a prominent American college basketball coach best known for his successful tenure at Ohio State University.
  • A. Thamon Hayes
    Thamon Hayes was an American jazz trombonist, composer, and bandleader best known for his influential role in the Kansas City jazz scene, including his work with Bennie Moten’s orchestra.
  • B. Tanner
    Tanner is a surname of Finnish origin, notably borne by the politician Väinö Tanner.
  • C. Eli Pittman
    Eli Pittman was an individual significant enough in the local history or development of Sevier County, Tennessee, that the town of Pittman Center was named in his honor.
  • D. Trevor
    Trevor is a masculine given name of English origin commonly used in the UK and other English-speaking countries.
  • E. Trevor
    Trevor is a village in Wrexham County Borough, Wales, known for its proximity to the UNESCO-listed Pontcysyllte Aqueduct on the Llangollen Canal.
  • 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.