Triple

T8571808
Position Surface form Disambiguated ID Type / Status
Subject Keller, Texas E202942 entity
Predicate mayor P185 FINISHED
Object Armin Mizani
Armin Mizani is an American local government leader and attorney who serves as the mayor of Keller, Texas.
E744138 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: Armin Mizani | Statement: [Keller, Texas, mayor, Armin Mizani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armin Mizani
Context triple: [Keller, Texas, mayor, Armin Mizani]
  • A. Kamel Morjane
    Kamel Morjane is a Tunisian diplomat and politician who has served in senior government roles, including as foreign minister, and held leadership positions in international organizations such as the United Nations.
  • B. Hailu Hakka
    Hailu Hakka is a major regional variety of the Hakka Chinese language, spoken primarily in parts of Guangdong and neighboring areas and known for its distinctive phonology and vocabulary.
  • C. Karam Nimri
    Karam Nimri is the father of Spanish actress and singer Najwa Nimri.
  • D. Sam Mussabini
    Sam Mussabini was a renowned early 20th-century athletics coach best known for training British sprinter Harold Abrahams, as depicted in the film "Chariots of Fire."
  • E. David Nehdar
    David Nehdar is a private American businessman best known as the husband of actress Lacey Chabert.
  • 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: Armin Mizani
Triple: [Keller, Texas, mayor, Armin Mizani]
Generated description
Armin Mizani is an American local government leader and attorney who serves as the mayor of Keller, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Armin Mizani
Target entity description: Armin Mizani is an American local government leader and attorney who serves as the mayor of Keller, Texas.
  • A. Kamel Morjane
    Kamel Morjane is a Tunisian diplomat and politician who has served in senior government roles, including as foreign minister, and held leadership positions in international organizations such as the United Nations.
  • B. Hailu Hakka
    Hailu Hakka is a major regional variety of the Hakka Chinese language, spoken primarily in parts of Guangdong and neighboring areas and known for its distinctive phonology and vocabulary.
  • C. Karam Nimri
    Karam Nimri is the father of Spanish actress and singer Najwa Nimri.
  • D. Sam Mussabini
    Sam Mussabini was a renowned early 20th-century athletics coach best known for training British sprinter Harold Abrahams, as depicted in the film "Chariots of Fire."
  • E. David Nehdar
    David Nehdar is a private American businessman best known as the husband of actress Lacey Chabert.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea43843c8190ac2224d427bb7a75 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce8983bd3c819094457b5160bc928d completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8ac1dba48190bbad47a762130aab completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8eae70008190b2c7bbe4ce8d4c0a completed April 2, 2026, 3:43 p.m.
Created at: March 30, 2026, 6:21 p.m.