Triple

T7093595
Position Surface form Disambiguated ID Type / Status
Subject Age Discrimination in Employment Act of 1967 E165265 entity
Predicate shortName P43 FINISHED
Object ADEA
ADEA is a U.S. federal law that protects workers aged 40 and older from age-based discrimination in employment.
 E642289 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: ADEA | Statement: [Age Discrimination in Employment Act of 1967, shortName, ADEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ADEA
Context triple: [Age Discrimination in Employment Act of 1967, shortName, ADEA]
  • A. AADA
    AADA is a renowned conservatory-style acting school in the United States known for training stage, film, and television performers.
  • B. EdA
    EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
  • C. AdE
    AdE is the abbreviation for the Akademio de Esperanto, the language-regulating body that oversees the evolution and norms of Esperanto.
  • D. EACEA
    EACEA is an executive agency of the European Commission responsible for managing EU funding programmes in the fields of education, culture, audiovisual, sport, citizenship, and volunteering.
  • E. ADEC
    ADEC is the Alaska state agency responsible for protecting public health and the environment through regulation and oversight of air, water, land, and food safety.
  • 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: ADEA
Triple: [Age Discrimination in Employment Act of 1967, shortName, ADEA]
Generated description
ADEA is a U.S. federal law that protects workers aged 40 and older from age-based discrimination in employment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ADEA
Target entity description: ADEA is a U.S. federal law that protects workers aged 40 and older from age-based discrimination in employment.
  • A. AADA
    AADA is a renowned conservatory-style acting school in the United States known for training stage, film, and television performers.
  • B. EdA
    EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
  • C. AdE
    AdE is the abbreviation for the Akademio de Esperanto, the language-regulating body that oversees the evolution and norms of Esperanto.
  • D. EACEA
    EACEA is an executive agency of the European Commission responsible for managing EU funding programmes in the fields of education, culture, audiovisual, sport, citizenship, and volunteering.
  • E. ADEC
    ADEC is the Alaska state agency responsible for protecting public health and the environment through regulation and oversight of air, water, land, and food safety.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e55159848190a794ad77e60c5525 completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c9adce081908b571c64e5d8222f completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79dab5690819094f6d8ad49e6eec5 completed March 28, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69c79e12a40c8190b21128e17c3e212e completed March 28, 2026, 9:23 a.m.
Created at: March 27, 2026, 2:41 p.m.