Triple

T37505050
Position Surface form Disambiguated ID Type / Status
Subject Curveball E932068 entity
Predicate codenameFor P744 FINISHED
Object Rafid Ahmed Alwan al-Janabi
Rafid Ahmed Alwan al-Janabi is an Iraqi defector whose disputed claims about Saddam Hussein’s alleged mobile biological weapons labs were a key intelligence source used to justify the 2003 U.S.-led invasion of Iraq.
E2230337 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: Rafid Ahmed Alwan al-Janabi | Statement: [Curveball, codenameFor, Rafid Ahmed Alwan al-Janabi]
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: Rafid Ahmed Alwan al-Janabi
Triple: [Curveball, codenameFor, Rafid Ahmed Alwan al-Janabi]
Generated description
Rafid Ahmed Alwan al-Janabi is an Iraqi defector whose disputed claims about Saddam Hussein’s alleged mobile biological weapons labs were a key intelligence source used to justify the 2003 U.S.-led invasion of Iraq.

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_69f76ec5268481909ea01c73aeeefd42 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba3a5a4588190b3507d197dff1879 completed May 6, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4095333918819098517c4c2c2398f6 completed June 28, 2026, 3:29 a.m.
NEDg Description generation batch_6a4095bdb4888190a1bcbff88282e74c completed June 28, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a40965a4a9881909930cd6dc75e1892 completed June 28, 2026, 3:34 a.m.
Created at: May 3, 2026, 4:17 p.m.