Triple
T16599713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevada Department of Human Resources v. Hibbs |
E403299
|
entity |
| Predicate | respondent |
P2238
|
FINISHED |
| Object |
William Hibbs
William Hibbs is the state employee whose challenge to Nevada’s leave policies led to the landmark U.S. Supreme Court case Nevada Department of Human Resources v. Hibbs on the scope of the Family and Medical Leave Act.
|
E1768791
|
NE FINISHED |
How this triple was built (2 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: William Hibbs | Statement: [Nevada Department of Human Resources v. Hibbs, respondent, William Hibbs]
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: William Hibbs Triple: [Nevada Department of Human Resources v. Hibbs, respondent, William Hibbs]
Generated description
William Hibbs is the state employee whose challenge to Nevada’s leave policies led to the landmark U.S. Supreme Court case Nevada Department of Human Resources v. Hibbs on the scope of the Family and Medical Leave Act.
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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d75772c8190b02aef02ea6788e1 |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12a79f56988190b6f1322c79cb5cbf |
completed | May 24, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_6a12a836c29081909204e8050475b90a |
completed | May 24, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12a8c42ba88190bff494510a3bbbcd |
completed | May 24, 2026, 7:29 a.m. |
Created at: April 10, 2026, 5:16 a.m.