Triple

T22902848
Position Surface form Disambiguated ID Type / Status
Subject Ali Reza Pahlavi (1922–1954) E568369 entity
Predicate sibling P363 FINISHED
Object Mahmoud Reza Pahlavi
Mahmoud Reza Pahlavi was a member of Iran’s Pahlavi royal family and a brother of Ali Reza Pahlavi, belonging to the dynasty that ruled Iran in the 20th century.
E1604836 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: Mahmoud Reza Pahlavi | Statement: [Ali Reza Pahlavi (1922–1954), sibling, Mahmoud Reza Pahlavi]
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: Mahmoud Reza Pahlavi
Triple: [Ali Reza Pahlavi (1922–1954), sibling, Mahmoud Reza Pahlavi]
Generated description
Mahmoud Reza Pahlavi was a member of Iran’s Pahlavi royal family and a brother of Ali Reza Pahlavi, belonging to the dynasty that ruled Iran in the 20th century.

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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18017a0208190a7e6f1638fc17b01 completed April 29, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69354fb88190b596571e3f3a13d6 completed May 21, 2026, 8:21 p.m.
NEDg Description generation batch_6a0f6d5d000881908d66b90b4d418c4f completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e2ff6c481909b81c0d31259a919 completed May 21, 2026, 8:42 p.m.
Created at: April 17, 2026, 3:41 p.m.