Triple

T26574819
Position Surface form Disambiguated ID Type / Status
Subject Don’t Ask, Don’t Tell Repeal Act of 2010 E666919 entity
Predicate relatedBill P143942 FINISHED
Object S. 4023
S. 4023 is a U.S. Senate bill from the 111th Congress associated with efforts to repeal the military’s “Don’t Ask, Don’t Tell” policy on service by openly gay, lesbian, and bisexual personnel.
 E1732789 NE FINISHED

How this triple was built (3 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: S. 4023 | Statement: [Don’t Ask, Don’t Tell Repeal Act of 2010, relatedBill, S. 4023]
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: S. 4023
Triple: [Don’t Ask, Don’t Tell Repeal Act of 2010, relatedBill, S. 4023]
Generated description
S. 4023 is a U.S. Senate bill from the 111th Congress associated with efforts to repeal the military’s “Don’t Ask, Don’t Tell” policy on service by openly gay, lesbian, and bisexual personnel.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: relatedBill
Context triple: [Don’t Ask, Don’t Tell Repeal Act of 2010, relatedBill, S. 4023]
  • A. relationshipWithBill chosen
    Indicates that there exists some specified type of relationship or association between an entity and Bill.
  • B. billedThrough
    Indicates that one party’s billing or payment is processed via, or routed through, another party or system.
  • C. financialBillsGovernedBy
    Indicates that certain financial bills or obligations are regulated, controlled, or overseen by a specified governing authority or entity.
  • D. billingEntity
    Indicates the entity that is responsible for issuing or receiving bills or invoices in a transaction or service relationship.
  • E. relatedCase
    Indicates that one legal case is connected or associated with another case, such as through shared facts, parties, issues, or procedural history.
  • F. None of above.

Provenance (6 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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69fe991bca608190b524e419642f4243 completed May 9, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11c82efa0081909d3b58f0d7861821 completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11ca8102f08190b5e4ce3415151fd8 completed May 23, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_6a11cb036a908190a43c3aee7dd4e0d6 completed May 23, 2026, 3:42 p.m.
PD Predicate disambiguation batch_69fe979fc1c4819091fc48d63ea12063 completed May 9, 2026, 2:10 a.m.
Created at: April 27, 2026, 1:59 a.m.