Triple

T23577810
Position Surface form Disambiguated ID Type / Status
Subject Shafiq Rasul E580310 entity
Predicate advocatedBy P33 FINISHED
Object Center for Constitutional Rights
The Center for Constitutional Rights is a U.S.-based legal advocacy organization known for litigating high-impact civil and human rights cases, including challenges to unlawful detentions and abuses in the “war on terror.”
 E1597547 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: Center for Constitutional Rights | Statement: [Shafiq Rasul, advocatedBy, Center for Constitutional Rights]
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: Center for Constitutional Rights
Triple: [Shafiq Rasul, advocatedBy, Center for Constitutional Rights]
Generated description
The Center for Constitutional Rights is a U.S.-based legal advocacy organization known for litigating high-impact civil and human rights cases, including challenges to unlawful detentions and abuses in the “war on terror.”

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_69e24601a9108190bc31e83833c980e4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1afd725d88190b33c8fb26603db59 completed April 29, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f4570919c8190a0cde4de9941eb48 completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f4993b2b4819096eadd033cda306d completed May 21, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_6a0f4a54f09c81909762ebf10c69b0f6 completed May 21, 2026, 6:09 p.m.
Created at: April 17, 2026, 6:38 p.m.