Triple

T16149653
Position Surface form Disambiguated ID Type / Status
Subject Alabama Department of Insurance E391877 entity
Predicate shortName P43 FINISHED
Object ALDOI
ALDOI is the state agency responsible for regulating the insurance industry and protecting insurance consumers in Alabama.
 E1197942 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: ALDOI | Statement: [Alabama Department of Insurance, shortName, ALDOI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALDOI
Context triple: [Alabama Department of Insurance, shortName, ALDOI]
  • A. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • B. Aldah
    Aldah is a figure from Islamic tradition known as a sibling of Abida, mentioned in genealogical accounts of early Arab lineages.
  • C. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • D. Alidoro
    Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
  • E. A'lars
    A'lars, also known as Mentor, is a powerful Eternal from Marvel Comics best known as the father of Thanos and a leader of the Eternals of Titan.
  • 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: ALDOI
Triple: [Alabama Department of Insurance, shortName, ALDOI]
Generated description
ALDOI is the state agency responsible for regulating the insurance industry and protecting insurance consumers in Alabama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALDOI
Target entity description: ALDOI is the state agency responsible for regulating the insurance industry and protecting insurance consumers in Alabama.
  • A. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • B. Aldah
    Aldah is a figure from Islamic tradition known as a sibling of Abida, mentioned in genealogical accounts of early Arab lineages.
  • C. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • D. Alidoro
    Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
  • E. A'lars
    A'lars, also known as Mentor, is a powerful Eternal from Marvel Comics best known as the father of Thanos and a leader of the Eternals of Titan.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d960c088190a0fe2673f60d106b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a9ebf08190aa21cdff051f4ba2 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff86a556c819096bc008e1ca76e8c completed May 10, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fff926120081909f1042bf3a16ea10 completed May 10, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:01 a.m.