Triple

T13263480
Position Surface form Disambiguated ID Type / Status
Subject UFC 91 E315856 entity
Predicate fighterOnCard P109204 FINISHED
Object Nate Quarry
Nate Quarry is an American mixed martial artist best known for competing as a middleweight in the UFC and for his powerful striking style.
E1030782 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: Nate Quarry | Statement: [UFC 91, fighterOnCard, Nate Quarry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nate Quarry
Context triple: [UFC 91, fighterOnCard, Nate Quarry]
  • A. Fort Rock
    Fort Rock is a striking ring-shaped volcanic tuff formation in central Oregon known for its towering cliffs and significant archaeological sites.
  • B. Tahlequah
    Tahlequah is a city in eastern Oklahoma that serves as the capital of the Cherokee Nation and is known for its rich Native American history and culture.
  • C. Quiney
    Quiney is an English surname historically associated with families in Stratford-upon-Avon, including relatives by marriage of William Shakespeare.
  • D. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • E. Hoyt
    Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
  • 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: Nate Quarry
Triple: [UFC 91, fighterOnCard, Nate Quarry]
Generated description
Nate Quarry is an American mixed martial artist best known for competing as a middleweight in the UFC and for his powerful striking style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nate Quarry
Target entity description: Nate Quarry is an American mixed martial artist best known for competing as a middleweight in the UFC and for his powerful striking style.
  • A. Fort Rock
    Fort Rock is a striking ring-shaped volcanic tuff formation in central Oregon known for its towering cliffs and significant archaeological sites.
  • B. Tahlequah
    Tahlequah is a city in eastern Oklahoma that serves as the capital of the Cherokee Nation and is known for its rich Native American history and culture.
  • C. Quiney
    Quiney is an English surname historically associated with families in Stratford-upon-Avon, including relatives by marriage of William Shakespeare.
  • D. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • E. Hoyt
    Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd4cb008190af99c4856e76ac08 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a48bc488190a5cf692d81bdcbba completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b5dbcc4819081b5ba410e319eb7 completed May 3, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 9, 2026, 9:25 p.m.