Triple

T7094395
Position Surface form Disambiguated ID Type / Status
Subject Altitude Express Inc. v. Zarda E165284 entity
Predicate shortName P43 FINISHED
Object Zarda
Zarda is a landmark U.S. Supreme Court case that held federal law prohibits employment discrimination based on sexual orientation.
 E642324 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: Zarda | Statement: [Altitude Express Inc. v. Zarda, shortName, Zarda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zarda
Context triple: [Altitude Express Inc. v. Zarda, shortName, Zarda]
  • A. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • B. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • C. Zare
    Zare is the surname of Richard N. Zare, a prominent American chemist known for his pioneering work in laser chemistry and molecular reaction dynamics.
  • D. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • E. Lezginka
    Lezginka is a fast-paced, energetic folk dance of the Caucasus region, characterized by sharp, agile movements and often performed at celebrations and cultural events.
  • 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: Zarda
Triple: [Altitude Express Inc. v. Zarda, shortName, Zarda]
Generated description
Zarda is a landmark U.S. Supreme Court case that held federal law prohibits employment discrimination based on sexual orientation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zarda
Target entity description: Zarda is a landmark U.S. Supreme Court case that held federal law prohibits employment discrimination based on sexual orientation.
  • A. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • B. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • C. Zare
    Zare is the surname of Richard N. Zare, a prominent American chemist known for his pioneering work in laser chemistry and molecular reaction dynamics.
  • D. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • E. Lezginka
    Lezginka is a fast-paced, energetic folk dance of the Caucasus region, characterized by sharp, agile movements and often performed at celebrations and cultural events.
  • 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.